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You searched for subject:(Integrative statistical data analysis). Showing records 1 – 30 of 113990 total matches.

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University of Texas – Austin

1. Ramakrishnan, Smriti Rajan. A systems approach to computational protein identification.

Degree: Computer Sciences, 2010, University of Texas – Austin

 Proteomics is the science of understanding the dynamic protein content of an organism's cells (its proteome), which is one of the largest current challenges in… (more)

Subjects/Keywords: Computational biology; Bioinformatics; Integrative statistical data analysis; Computational proteomics; Systems biology; Database indexing

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APA (6th Edition):

Ramakrishnan, S. R. (2010). A systems approach to computational protein identification. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/ETD-UT-2010-05-1036

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ramakrishnan, Smriti Rajan. “A systems approach to computational protein identification.” 2010. Thesis, University of Texas – Austin. Accessed June 17, 2019. http://hdl.handle.net/2152/ETD-UT-2010-05-1036.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ramakrishnan, Smriti Rajan. “A systems approach to computational protein identification.” 2010. Web. 17 Jun 2019.

Vancouver:

Ramakrishnan SR. A systems approach to computational protein identification. [Internet] [Thesis]. University of Texas – Austin; 2010. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-1036.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ramakrishnan SR. A systems approach to computational protein identification. [Thesis]. University of Texas – Austin; 2010. Available from: http://hdl.handle.net/2152/ETD-UT-2010-05-1036

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Notre Dame

2. Justin M. Luningham. Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>.

Degree: PhD, Psychology, 2018, University of Notre Dame

  IDA refers to combining data from independent studies into a concatenated dataset and analyzing the new data jointly (Curran & Hussong, 2009). IDA is… (more)

Subjects/Keywords: Integrative Data Analysis; Multiple Imputation; Genetic Consortia

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APA (6th Edition):

Luningham, J. M. (2018). Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/xd07gq70t5b

Chicago Manual of Style (16th Edition):

Luningham, Justin M.. “Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>.” 2018. Doctoral Dissertation, University of Notre Dame. Accessed June 17, 2019. https://curate.nd.edu/show/xd07gq70t5b.

MLA Handbook (7th Edition):

Luningham, Justin M.. “Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>.” 2018. Web. 17 Jun 2019.

Vancouver:

Luningham JM. Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2018. [cited 2019 Jun 17]. Available from: https://curate.nd.edu/show/xd07gq70t5b.

Council of Science Editors:

Luningham JM. Evaluating Psychometric and Imputation-Based Methods for Data Integration</h1>. [Doctoral Dissertation]. University of Notre Dame; 2018. Available from: https://curate.nd.edu/show/xd07gq70t5b


University of Utah

3. Gueye, Abdou Salam. Mapping economic and health data: integration and analysis challenges.

Degree: PhD, Biomedical Informatics;, 2007, University of Utah

 This work included four separate studies that each led to a publication. These studies shared a common relationship between economy or lifestyle and health while… (more)

Subjects/Keywords: Automatic Data Processing; Statistical Analysis

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APA (6th Edition):

Gueye, A. S. (2007). Mapping economic and health data: integration and analysis challenges. (Doctoral Dissertation). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/320/rec/730

Chicago Manual of Style (16th Edition):

Gueye, Abdou Salam. “Mapping economic and health data: integration and analysis challenges.” 2007. Doctoral Dissertation, University of Utah. Accessed June 17, 2019. http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/320/rec/730.

MLA Handbook (7th Edition):

Gueye, Abdou Salam. “Mapping economic and health data: integration and analysis challenges.” 2007. Web. 17 Jun 2019.

Vancouver:

Gueye AS. Mapping economic and health data: integration and analysis challenges. [Internet] [Doctoral dissertation]. University of Utah; 2007. [cited 2019 Jun 17]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/320/rec/730.

Council of Science Editors:

Gueye AS. Mapping economic and health data: integration and analysis challenges. [Doctoral Dissertation]. University of Utah; 2007. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd2/id/320/rec/730


Aberystwyth University

4. Riley, Michael. Significant pattern discovery in gene location and phylogeny.

Degree: PhD, 2009, Aberystwyth University

 This thesis documents the investigation into the acquisition of knowledge from biological data using computational methods for the discovery of significantly frequent patterns in gene… (more)

Subjects/Keywords: 576.880285; biological data; statistical analysis

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APA (6th Edition):

Riley, M. (2009). Significant pattern discovery in gene location and phylogeny. (Doctoral Dissertation). Aberystwyth University. Retrieved from https://pure.aber.ac.uk/portal/en/theses/significant-pattern-discovery-in-gene-location-and-phylogeny(fbabd607-ae86-44ed-a3f1-9eb2c461da32).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494799

Chicago Manual of Style (16th Edition):

Riley, Michael. “Significant pattern discovery in gene location and phylogeny.” 2009. Doctoral Dissertation, Aberystwyth University. Accessed June 17, 2019. https://pure.aber.ac.uk/portal/en/theses/significant-pattern-discovery-in-gene-location-and-phylogeny(fbabd607-ae86-44ed-a3f1-9eb2c461da32).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494799.

MLA Handbook (7th Edition):

Riley, Michael. “Significant pattern discovery in gene location and phylogeny.” 2009. Web. 17 Jun 2019.

Vancouver:

Riley M. Significant pattern discovery in gene location and phylogeny. [Internet] [Doctoral dissertation]. Aberystwyth University; 2009. [cited 2019 Jun 17]. Available from: https://pure.aber.ac.uk/portal/en/theses/significant-pattern-discovery-in-gene-location-and-phylogeny(fbabd607-ae86-44ed-a3f1-9eb2c461da32).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494799.

Council of Science Editors:

Riley M. Significant pattern discovery in gene location and phylogeny. [Doctoral Dissertation]. Aberystwyth University; 2009. Available from: https://pure.aber.ac.uk/portal/en/theses/significant-pattern-discovery-in-gene-location-and-phylogeny(fbabd607-ae86-44ed-a3f1-9eb2c461da32).html ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494799


North Carolina State University

5. Breimyer, Paul William. A Transparent Collaborative Framework for Efficient Data Analysis and Knowledge Annotation on the Web.

Degree: PhD, Computer Science, 2009, North Carolina State University

 High-throughput experiments and ultrascale computing generate scientific data of growing size and complexity. These trends challenge traditional data analysis environments, most of which are based… (more)

Subjects/Keywords: statistical data analysis; Web; annotation

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APA (6th Edition):

Breimyer, P. W. (2009). A Transparent Collaborative Framework for Efficient Data Analysis and Knowledge Annotation on the Web. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/4020

Chicago Manual of Style (16th Edition):

Breimyer, Paul William. “A Transparent Collaborative Framework for Efficient Data Analysis and Knowledge Annotation on the Web.” 2009. Doctoral Dissertation, North Carolina State University. Accessed June 17, 2019. http://www.lib.ncsu.edu/resolver/1840.16/4020.

MLA Handbook (7th Edition):

Breimyer, Paul William. “A Transparent Collaborative Framework for Efficient Data Analysis and Knowledge Annotation on the Web.” 2009. Web. 17 Jun 2019.

Vancouver:

Breimyer PW. A Transparent Collaborative Framework for Efficient Data Analysis and Knowledge Annotation on the Web. [Internet] [Doctoral dissertation]. North Carolina State University; 2009. [cited 2019 Jun 17]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4020.

Council of Science Editors:

Breimyer PW. A Transparent Collaborative Framework for Efficient Data Analysis and Knowledge Annotation on the Web. [Doctoral Dissertation]. North Carolina State University; 2009. Available from: http://www.lib.ncsu.edu/resolver/1840.16/4020

6. KELLY, STEPHEN. News, Sentiment, and Financial Markets: A Computational System to Evaluate the Influence of Text Sentiment on Financial Assets.

Degree: 2016, Trinity College Dublin

 With the advent of the internet and digitisation of news and books, the volume of unstructured text has increased dramatically in recent years. This deluge… (more)

Subjects/Keywords: Data Analysis; Econometric and statistical analysis; Natural Language Processing; STATISTICAL ANALYSIS

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APA (6th Edition):

KELLY, S. (2016). News, Sentiment, and Financial Markets: A Computational System to Evaluate the Influence of Text Sentiment on Financial Assets. (Thesis). Trinity College Dublin. Retrieved from http://hdl.handle.net/2262/79727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

KELLY, STEPHEN. “News, Sentiment, and Financial Markets: A Computational System to Evaluate the Influence of Text Sentiment on Financial Assets.” 2016. Thesis, Trinity College Dublin. Accessed June 17, 2019. http://hdl.handle.net/2262/79727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

KELLY, STEPHEN. “News, Sentiment, and Financial Markets: A Computational System to Evaluate the Influence of Text Sentiment on Financial Assets.” 2016. Web. 17 Jun 2019.

Vancouver:

KELLY S. News, Sentiment, and Financial Markets: A Computational System to Evaluate the Influence of Text Sentiment on Financial Assets. [Internet] [Thesis]. Trinity College Dublin; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2262/79727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

KELLY S. News, Sentiment, and Financial Markets: A Computational System to Evaluate the Influence of Text Sentiment on Financial Assets. [Thesis]. Trinity College Dublin; 2016. Available from: http://hdl.handle.net/2262/79727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

7. Ghandchi, Frederick Pejman. Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation.

Degree: PhD, Crop Sciences, 2016, University of Illinois – Urbana-Champaign

 Chlorophyll is a vital compound in photosynthesis in plants and as such both its biosynthesis and degradation are tightly regulated. Disruption of the regulatory pathway… (more)

Subjects/Keywords: Data Science; Data Engineering; Data Analysis; Computational Analysis; Statistical Programming; Database Development; Statistical Modeling; Genomics

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APA (6th Edition):

Ghandchi, F. P. (2016). Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/92716

Chicago Manual of Style (16th Edition):

Ghandchi, Frederick Pejman. “Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation.” 2016. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed June 17, 2019. http://hdl.handle.net/2142/92716.

MLA Handbook (7th Edition):

Ghandchi, Frederick Pejman. “Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation.” 2016. Web. 17 Jun 2019.

Vancouver:

Ghandchi FP. Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2142/92716.

Council of Science Editors:

Ghandchi FP. Computational analysis of upstream regulatory elements regulating plant chlorophyll degradation. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/92716


University of Louisville

8. Stallard, Robert Warren. Longitudinal tracking of physiological state with electromyographic signals.

Degree: PhD, 2018, University of Louisville

  Electrophysiological measurements have been used in recent history to classify instantaneous physiological configurations, e.g., hand gestures. This work investigates the feasibility of working with… (more)

Subjects/Keywords: machine learning; wavelets; sensorimotor; disuse; emg; Bioelectrical and Neuroengineering; Biomechanics; Biomedical; Longitudinal Data Analysis and Time Series; Motor Control; Multivariate Analysis; Signal Processing; Statistical Models; Systems and Integrative Engineering; Systems Neuroscience

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APA (6th Edition):

Stallard, R. W. (2018). Longitudinal tracking of physiological state with electromyographic signals. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/2980 ; https://ir.library.louisville.edu/etd/2980

Chicago Manual of Style (16th Edition):

Stallard, Robert Warren. “Longitudinal tracking of physiological state with electromyographic signals.” 2018. Doctoral Dissertation, University of Louisville. Accessed June 17, 2019. 10.18297/etd/2980 ; https://ir.library.louisville.edu/etd/2980.

MLA Handbook (7th Edition):

Stallard, Robert Warren. “Longitudinal tracking of physiological state with electromyographic signals.” 2018. Web. 17 Jun 2019.

Vancouver:

Stallard RW. Longitudinal tracking of physiological state with electromyographic signals. [Internet] [Doctoral dissertation]. University of Louisville; 2018. [cited 2019 Jun 17]. Available from: 10.18297/etd/2980 ; https://ir.library.louisville.edu/etd/2980.

Council of Science Editors:

Stallard RW. Longitudinal tracking of physiological state with electromyographic signals. [Doctoral Dissertation]. University of Louisville; 2018. Available from: 10.18297/etd/2980 ; https://ir.library.louisville.edu/etd/2980


University of Louisville

9. Wang, Xiao. Statistical analysis and data mining of Medicare patients with diabetes.

Degree: PhD, 2011, University of Louisville

 The purpose of this dissertation is to find ways to decrease Medicare costs and to study health outcomes of diabetes patients as well as to… (more)

Subjects/Keywords: Statistical analysis; Diabetes; Data mining; Medicare

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APA (6th Edition):

Wang, X. (2011). Statistical analysis and data mining of Medicare patients with diabetes. (Doctoral Dissertation). University of Louisville. Retrieved from 10.18297/etd/1509 ; https://ir.library.louisville.edu/etd/1509

Chicago Manual of Style (16th Edition):

Wang, Xiao. “Statistical analysis and data mining of Medicare patients with diabetes.” 2011. Doctoral Dissertation, University of Louisville. Accessed June 17, 2019. 10.18297/etd/1509 ; https://ir.library.louisville.edu/etd/1509.

MLA Handbook (7th Edition):

Wang, Xiao. “Statistical analysis and data mining of Medicare patients with diabetes.” 2011. Web. 17 Jun 2019.

Vancouver:

Wang X. Statistical analysis and data mining of Medicare patients with diabetes. [Internet] [Doctoral dissertation]. University of Louisville; 2011. [cited 2019 Jun 17]. Available from: 10.18297/etd/1509 ; https://ir.library.louisville.edu/etd/1509.

Council of Science Editors:

Wang X. Statistical analysis and data mining of Medicare patients with diabetes. [Doctoral Dissertation]. University of Louisville; 2011. Available from: 10.18297/etd/1509 ; https://ir.library.louisville.edu/etd/1509


McMaster University

10. Liu, Kai. Statistical Analysis of Longitudinal Data with a Case Study.

Degree: MSc, 2015, McMaster University

Preterm birth is the leading cause of neonatal mortality and long-term morbidity. Neonatologists can adjust nutrition to preterm neonates to control their weight gain so… (more)

Subjects/Keywords: preterm birth; longitudinal data; imputation; statistical analysis

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APA (6th Edition):

Liu, K. (2015). Statistical Analysis of Longitudinal Data with a Case Study. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/16614

Chicago Manual of Style (16th Edition):

Liu, Kai. “Statistical Analysis of Longitudinal Data with a Case Study.” 2015. Masters Thesis, McMaster University. Accessed June 17, 2019. http://hdl.handle.net/11375/16614.

MLA Handbook (7th Edition):

Liu, Kai. “Statistical Analysis of Longitudinal Data with a Case Study.” 2015. Web. 17 Jun 2019.

Vancouver:

Liu K. Statistical Analysis of Longitudinal Data with a Case Study. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/11375/16614.

Council of Science Editors:

Liu K. Statistical Analysis of Longitudinal Data with a Case Study. [Masters Thesis]. McMaster University; 2015. Available from: http://hdl.handle.net/11375/16614


Wayne State University

11. Diaz Herrera, Diana Mabel. Integrative Pathway Analysis Pipeline For Mirna And Mrna Data.

Degree: MS, Computer Science, 2017, Wayne State University

  The identification of pathways that are involved in a particular phenotype helps us understand the underlying biological processes. Traditional pathway analysis techniques aim to… (more)

Subjects/Keywords: bioinformatics; data analysis; graphs; integrative p-value; microRNA; pathway analysis; Biostatistics; Computer Engineering; Computer Sciences

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APA (6th Edition):

Diaz Herrera, D. M. (2017). Integrative Pathway Analysis Pipeline For Mirna And Mrna Data. (Masters Thesis). Wayne State University. Retrieved from https://digitalcommons.wayne.edu/oa_theses/559

Chicago Manual of Style (16th Edition):

Diaz Herrera, Diana Mabel. “Integrative Pathway Analysis Pipeline For Mirna And Mrna Data.” 2017. Masters Thesis, Wayne State University. Accessed June 17, 2019. https://digitalcommons.wayne.edu/oa_theses/559.

MLA Handbook (7th Edition):

Diaz Herrera, Diana Mabel. “Integrative Pathway Analysis Pipeline For Mirna And Mrna Data.” 2017. Web. 17 Jun 2019.

Vancouver:

Diaz Herrera DM. Integrative Pathway Analysis Pipeline For Mirna And Mrna Data. [Internet] [Masters thesis]. Wayne State University; 2017. [cited 2019 Jun 17]. Available from: https://digitalcommons.wayne.edu/oa_theses/559.

Council of Science Editors:

Diaz Herrera DM. Integrative Pathway Analysis Pipeline For Mirna And Mrna Data. [Masters Thesis]. Wayne State University; 2017. Available from: https://digitalcommons.wayne.edu/oa_theses/559


Louisiana State University

12. Ogunyomi, Gbemisola Yewande. Evaluation of interwell connectivity of Little Creek Field, Mississipii [sic] from production data.

Degree: MSPE, Petroleum Engineering, 2009, Louisiana State University

 The understanding of geological characteristics and heterogeneity of a reservoir enables better decisions for reservoir development. Statistical methods use universally available injection and production rate… (more)

Subjects/Keywords: Production data analysis; statistical analysis of production data

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APA (6th Edition):

Ogunyomi, G. Y. (2009). Evaluation of interwell connectivity of Little Creek Field, Mississipii [sic] from production data. (Masters Thesis). Louisiana State University. Retrieved from etd-11092009-232207 ; https://digitalcommons.lsu.edu/gradschool_theses/2640

Chicago Manual of Style (16th Edition):

Ogunyomi, Gbemisola Yewande. “Evaluation of interwell connectivity of Little Creek Field, Mississipii [sic] from production data.” 2009. Masters Thesis, Louisiana State University. Accessed June 17, 2019. etd-11092009-232207 ; https://digitalcommons.lsu.edu/gradschool_theses/2640.

MLA Handbook (7th Edition):

Ogunyomi, Gbemisola Yewande. “Evaluation of interwell connectivity of Little Creek Field, Mississipii [sic] from production data.” 2009. Web. 17 Jun 2019.

Vancouver:

Ogunyomi GY. Evaluation of interwell connectivity of Little Creek Field, Mississipii [sic] from production data. [Internet] [Masters thesis]. Louisiana State University; 2009. [cited 2019 Jun 17]. Available from: etd-11092009-232207 ; https://digitalcommons.lsu.edu/gradschool_theses/2640.

Council of Science Editors:

Ogunyomi GY. Evaluation of interwell connectivity of Little Creek Field, Mississipii [sic] from production data. [Masters Thesis]. Louisiana State University; 2009. Available from: etd-11092009-232207 ; https://digitalcommons.lsu.edu/gradschool_theses/2640

13. Miok, V. Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling.

Degree: 2018, NARCIS

Subjects/Keywords: HPV; cervical cancer; integrative statistical modeling; time series; differential expression; pathway analysis; longitudinal data; network reconstruction

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APA (6th Edition):

Miok, V. (2018). Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling. (Doctoral Dissertation). NARCIS. Retrieved from https://research.vumc.nl/en/publications/6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; urn:nbn:nl:ui:31-6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; 6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; 1871/55735 ; urn:nbn:nl:ui:31-6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; https://research.vumc.nl/en/publications/6eba94a3-a961-4bda-9e9e-f8ab079f2391

Chicago Manual of Style (16th Edition):

Miok, V. “Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling.” 2018. Doctoral Dissertation, NARCIS. Accessed June 17, 2019. https://research.vumc.nl/en/publications/6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; urn:nbn:nl:ui:31-6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; 6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; 1871/55735 ; urn:nbn:nl:ui:31-6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; https://research.vumc.nl/en/publications/6eba94a3-a961-4bda-9e9e-f8ab079f2391.

MLA Handbook (7th Edition):

Miok, V. “Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling.” 2018. Web. 17 Jun 2019.

Vancouver:

Miok V. Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling. [Internet] [Doctoral dissertation]. NARCIS; 2018. [cited 2019 Jun 17]. Available from: https://research.vumc.nl/en/publications/6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; urn:nbn:nl:ui:31-6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; 6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; 1871/55735 ; urn:nbn:nl:ui:31-6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; https://research.vumc.nl/en/publications/6eba94a3-a961-4bda-9e9e-f8ab079f2391.

Council of Science Editors:

Miok V. Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling. [Doctoral Dissertation]. NARCIS; 2018. Available from: https://research.vumc.nl/en/publications/6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; urn:nbn:nl:ui:31-6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; 6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; 1871/55735 ; urn:nbn:nl:ui:31-6eba94a3-a961-4bda-9e9e-f8ab079f2391 ; https://research.vumc.nl/en/publications/6eba94a3-a961-4bda-9e9e-f8ab079f2391


Vrije Universiteit Amsterdam

14. Miok, V. Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling .

Degree: 2018, Vrije Universiteit Amsterdam

Subjects/Keywords: HPV; cervical cancer; integrative statistical modeling; time series; differential expression; pathway analysis; longitudinal data; network reconstruction

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APA (6th Edition):

Miok, V. (2018). Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling . (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/55735

Chicago Manual of Style (16th Edition):

Miok, V. “Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling .” 2018. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed June 17, 2019. http://hdl.handle.net/1871/55735.

MLA Handbook (7th Edition):

Miok, V. “Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling .” 2018. Web. 17 Jun 2019.

Vancouver:

Miok V. Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2018. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/1871/55735.

Council of Science Editors:

Miok V. Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling . [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2018. Available from: http://hdl.handle.net/1871/55735

15. Miok, V. Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling.

Degree: 2018, NARCIS

Subjects/Keywords: HPV; cervical cancer; integrative statistical modeling; time series; differential expression; pathway analysis; longitudinal data; network reconstruction

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Miok, V. (2018). Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling. (Doctoral Dissertation). NARCIS. Retrieved from https://research.vu.nl/en/publications/9502c1e6-9f8c-4787-8830-f18d6c0b001f ; urn:nbn:nl:ui:31-1871/55735 ; 9502c1e6-9f8c-4787-8830-f18d6c0b001f ; 1871/55735 ; urn:nbn:nl:ui:31-1871/55735 ; https://research.vu.nl/en/publications/9502c1e6-9f8c-4787-8830-f18d6c0b001f

Chicago Manual of Style (16th Edition):

Miok, V. “Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling.” 2018. Doctoral Dissertation, NARCIS. Accessed June 17, 2019. https://research.vu.nl/en/publications/9502c1e6-9f8c-4787-8830-f18d6c0b001f ; urn:nbn:nl:ui:31-1871/55735 ; 9502c1e6-9f8c-4787-8830-f18d6c0b001f ; 1871/55735 ; urn:nbn:nl:ui:31-1871/55735 ; https://research.vu.nl/en/publications/9502c1e6-9f8c-4787-8830-f18d6c0b001f.

MLA Handbook (7th Edition):

Miok, V. “Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling.” 2018. Web. 17 Jun 2019.

Vancouver:

Miok V. Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling. [Internet] [Doctoral dissertation]. NARCIS; 2018. [cited 2019 Jun 17]. Available from: https://research.vu.nl/en/publications/9502c1e6-9f8c-4787-8830-f18d6c0b001f ; urn:nbn:nl:ui:31-1871/55735 ; 9502c1e6-9f8c-4787-8830-f18d6c0b001f ; 1871/55735 ; urn:nbn:nl:ui:31-1871/55735 ; https://research.vu.nl/en/publications/9502c1e6-9f8c-4787-8830-f18d6c0b001f.

Council of Science Editors:

Miok V. Comprehensive molecular characterisation of HPV-induced transformation by longitudinal statistical modelling. [Doctoral Dissertation]. NARCIS; 2018. Available from: https://research.vu.nl/en/publications/9502c1e6-9f8c-4787-8830-f18d6c0b001f ; urn:nbn:nl:ui:31-1871/55735 ; 9502c1e6-9f8c-4787-8830-f18d6c0b001f ; 1871/55735 ; urn:nbn:nl:ui:31-1871/55735 ; https://research.vu.nl/en/publications/9502c1e6-9f8c-4787-8830-f18d6c0b001f


University of Alberta

16. Labonté, Susan M. Exploring the Unplanned and Unpredictable Factors Affecting Home Care Nurse Case Manager Workload.

Degree: Master of Nursing, Faculty of Nursing, 2016, University of Alberta

 The purpose of this thesis is to explore the unplanned and unpredictable factors that affect home care nurse case manager workload. Two papers comprise this… (more)

Subjects/Keywords: home care; case manager; work; workload; workload measurement; unplanned; unpredictable; integrative review; secondary data analysis

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APA (6th Edition):

Labonté, S. M. (2016). Exploring the Unplanned and Unpredictable Factors Affecting Home Care Nurse Case Manager Workload. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/c6108vb418

Chicago Manual of Style (16th Edition):

Labonté, Susan M. “Exploring the Unplanned and Unpredictable Factors Affecting Home Care Nurse Case Manager Workload.” 2016. Masters Thesis, University of Alberta. Accessed June 17, 2019. https://era.library.ualberta.ca/files/c6108vb418.

MLA Handbook (7th Edition):

Labonté, Susan M. “Exploring the Unplanned and Unpredictable Factors Affecting Home Care Nurse Case Manager Workload.” 2016. Web. 17 Jun 2019.

Vancouver:

Labonté SM. Exploring the Unplanned and Unpredictable Factors Affecting Home Care Nurse Case Manager Workload. [Internet] [Masters thesis]. University of Alberta; 2016. [cited 2019 Jun 17]. Available from: https://era.library.ualberta.ca/files/c6108vb418.

Council of Science Editors:

Labonté SM. Exploring the Unplanned and Unpredictable Factors Affecting Home Care Nurse Case Manager Workload. [Masters Thesis]. University of Alberta; 2016. Available from: https://era.library.ualberta.ca/files/c6108vb418


Queens University

17. Wang, Lili. Integrative Network Analysis for Understanding Human Complex Traits .

Degree: Computing, 2015, Queens University

 Over the last decade, high throughput biological data, have been accumulating at rapidly increasing rates, providing the opportunity to gain insight into various fundamental biological… (more)

Subjects/Keywords: human complex traits; complex diseaes; biological network; biological data; integrative; network analysis

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APA (6th Edition):

Wang, L. (2015). Integrative Network Analysis for Understanding Human Complex Traits . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/13034

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Wang, Lili. “Integrative Network Analysis for Understanding Human Complex Traits .” 2015. Thesis, Queens University. Accessed June 17, 2019. http://hdl.handle.net/1974/13034.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Wang, Lili. “Integrative Network Analysis for Understanding Human Complex Traits .” 2015. Web. 17 Jun 2019.

Vancouver:

Wang L. Integrative Network Analysis for Understanding Human Complex Traits . [Internet] [Thesis]. Queens University; 2015. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/1974/13034.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Wang L. Integrative Network Analysis for Understanding Human Complex Traits . [Thesis]. Queens University; 2015. Available from: http://hdl.handle.net/1974/13034

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

18. Fu, Guifang. Statistical Models for Mapping Genes that Contribute to Shape Variation.

Degree: PhD, Statistics, 2012, Penn State University

 Living things come in all shapes and sizes, from bacteria, plants, and animals to humans. Knowledge about the genetic mechanisms for biological shape has far-reaching… (more)

Subjects/Keywords: QTL; Statistical Genetics; Shape Analysis; Plant; Functional Data Analysis

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APA (6th Edition):

Fu, G. (2012). Statistical Models for Mapping Genes that Contribute to Shape Variation. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/15374

Chicago Manual of Style (16th Edition):

Fu, Guifang. “Statistical Models for Mapping Genes that Contribute to Shape Variation.” 2012. Doctoral Dissertation, Penn State University. Accessed June 17, 2019. https://etda.libraries.psu.edu/catalog/15374.

MLA Handbook (7th Edition):

Fu, Guifang. “Statistical Models for Mapping Genes that Contribute to Shape Variation.” 2012. Web. 17 Jun 2019.

Vancouver:

Fu G. Statistical Models for Mapping Genes that Contribute to Shape Variation. [Internet] [Doctoral dissertation]. Penn State University; 2012. [cited 2019 Jun 17]. Available from: https://etda.libraries.psu.edu/catalog/15374.

Council of Science Editors:

Fu G. Statistical Models for Mapping Genes that Contribute to Shape Variation. [Doctoral Dissertation]. Penn State University; 2012. Available from: https://etda.libraries.psu.edu/catalog/15374


University of Gothenburg / Göteborgs Universitet

19. Polster, Annikka Virginia. Stratification and model-based analysis of patients with Irritable Bowel Syndrome using advanced biostatistics and medical data mining techniques.

Degree: 2018, University of Gothenburg / Göteborgs Universitet

 ABSTRACT Irritable Bowel Syndrome (IBS) is characterized by symptoms that are dominated by abdominal pain and abnormal bowel habits, as defined by the Rome criteria.… (more)

Subjects/Keywords: IBS; Data mining; Biostatistics; Integrative analysis; Subgroup analysis; Host-microbiota interaction; Mixture models; Network medicine; Heart rate variability

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APA (6th Edition):

Polster, A. V. (2018). Stratification and model-based analysis of patients with Irritable Bowel Syndrome using advanced biostatistics and medical data mining techniques. (Thesis). University of Gothenburg / Göteborgs Universitet. Retrieved from http://hdl.handle.net/2077/55973

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Polster, Annikka Virginia. “Stratification and model-based analysis of patients with Irritable Bowel Syndrome using advanced biostatistics and medical data mining techniques.” 2018. Thesis, University of Gothenburg / Göteborgs Universitet. Accessed June 17, 2019. http://hdl.handle.net/2077/55973.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Polster, Annikka Virginia. “Stratification and model-based analysis of patients with Irritable Bowel Syndrome using advanced biostatistics and medical data mining techniques.” 2018. Web. 17 Jun 2019.

Vancouver:

Polster AV. Stratification and model-based analysis of patients with Irritable Bowel Syndrome using advanced biostatistics and medical data mining techniques. [Internet] [Thesis]. University of Gothenburg / Göteborgs Universitet; 2018. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2077/55973.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Polster AV. Stratification and model-based analysis of patients with Irritable Bowel Syndrome using advanced biostatistics and medical data mining techniques. [Thesis]. University of Gothenburg / Göteborgs Universitet; 2018. Available from: http://hdl.handle.net/2077/55973

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Hong Kong University of Science and Technology

20. Li, Jian. Statistical process control for multivariate categorical processes.

Degree: 2012, Hong Kong University of Science and Technology

 Whatever is the business, either manufacturing or service, quality is the most critical aspect, which affects the level of success of the business. The importance… (more)

Subjects/Keywords: Process control  – Statistical methods; Multivariate analysis  – Data processing; Quality control  – Statistical methods

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APA (6th Edition):

Li, J. (2012). Statistical process control for multivariate categorical processes. (Thesis). Hong Kong University of Science and Technology. Retrieved from https://doi.org/10.14711/thesis-b1198695 ; http://repository.ust.hk/ir/bitstream/1783.1-7801/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Li, Jian. “Statistical process control for multivariate categorical processes.” 2012. Thesis, Hong Kong University of Science and Technology. Accessed June 17, 2019. https://doi.org/10.14711/thesis-b1198695 ; http://repository.ust.hk/ir/bitstream/1783.1-7801/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Li, Jian. “Statistical process control for multivariate categorical processes.” 2012. Web. 17 Jun 2019.

Vancouver:

Li J. Statistical process control for multivariate categorical processes. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2012. [cited 2019 Jun 17]. Available from: https://doi.org/10.14711/thesis-b1198695 ; http://repository.ust.hk/ir/bitstream/1783.1-7801/1/th_redirect.html.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Li J. Statistical process control for multivariate categorical processes. [Thesis]. Hong Kong University of Science and Technology; 2012. Available from: https://doi.org/10.14711/thesis-b1198695 ; http://repository.ust.hk/ir/bitstream/1783.1-7801/1/th_redirect.html

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Texas A&M University

21. Asava-Vallobh, Norabajra. Essays on Efficiency Analysis.

Degree: 2010, Texas A&M University

 This dissertation consists of four essays which investigate efficiency analysis, especially when non-discretionary inputs exist. A new approach of the multi-stage Data Envelopment Analysis (DEA)… (more)

Subjects/Keywords: Efficiency; Data envelopment analysis; DEA; Non-discretionary inputs; Statistical inference

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APA (6th Edition):

Asava-Vallobh, N. (2010). Essays on Efficiency Analysis. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-643

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Asava-Vallobh, Norabajra. “Essays on Efficiency Analysis.” 2010. Thesis, Texas A&M University. Accessed June 17, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-643.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Asava-Vallobh, Norabajra. “Essays on Efficiency Analysis.” 2010. Web. 17 Jun 2019.

Vancouver:

Asava-Vallobh N. Essays on Efficiency Analysis. [Internet] [Thesis]. Texas A&M University; 2010. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-643.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Asava-Vallobh N. Essays on Efficiency Analysis. [Thesis]. Texas A&M University; 2010. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-2009-05-643

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Riley, Michael. Significant Pattern Discovery in Gene Location and Phylogeny .

Degree: 2009, Aberystwyth University

 This thesis documents the investigation into the acquisition of knowledge from biological data using computational methods for the discovery of significantly frequent patterns in gene… (more)

Subjects/Keywords: biological data; statistical analysis

…language bias file required for a statistical analysis of genes and their attributes using WARMR… …This produces huge quantities of data that needs computational methods for analysis and… …the statistical analysis of the distribution of genes on the genome of Arabidopsis thaliana… …pattern mining of phylogenetic data. The data preparation for this analysis proved to be a… …some in depth statistical analysis. Essentially, this research involved selecting known… 

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Riley, M. (2009). Significant Pattern Discovery in Gene Location and Phylogeny . (Thesis). Aberystwyth University. Retrieved from http://hdl.handle.net/2160/1941

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Riley, Michael. “Significant Pattern Discovery in Gene Location and Phylogeny .” 2009. Thesis, Aberystwyth University. Accessed June 17, 2019. http://hdl.handle.net/2160/1941.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Riley, Michael. “Significant Pattern Discovery in Gene Location and Phylogeny .” 2009. Web. 17 Jun 2019.

Vancouver:

Riley M. Significant Pattern Discovery in Gene Location and Phylogeny . [Internet] [Thesis]. Aberystwyth University; 2009. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2160/1941.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Riley M. Significant Pattern Discovery in Gene Location and Phylogeny . [Thesis]. Aberystwyth University; 2009. Available from: http://hdl.handle.net/2160/1941

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


California State University – Sacramento

23. Schwartz, Heather. Evaluating substantive conclusions based on incomplete data: a methodological comparison of missing data techniques used in a study of the effect of race on teachers' evaluations of students' classroom behavior.

Degree: MA, Sociology, 2010, California State University – Sacramento

 The problem of missing data in statistical analysis is one that the field of social research has failed to adequately address despite its potential to… (more)

Subjects/Keywords: Statistical methods; Missing or incomplete data analysis; Evaluating substantive conclusions

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APA (6th Edition):

Schwartz, H. (2010). Evaluating substantive conclusions based on incomplete data: a methodological comparison of missing data techniques used in a study of the effect of race on teachers' evaluations of students' classroom behavior. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.9/85

Chicago Manual of Style (16th Edition):

Schwartz, Heather. “Evaluating substantive conclusions based on incomplete data: a methodological comparison of missing data techniques used in a study of the effect of race on teachers' evaluations of students' classroom behavior.” 2010. Masters Thesis, California State University – Sacramento. Accessed June 17, 2019. http://hdl.handle.net/10211.9/85.

MLA Handbook (7th Edition):

Schwartz, Heather. “Evaluating substantive conclusions based on incomplete data: a methodological comparison of missing data techniques used in a study of the effect of race on teachers' evaluations of students' classroom behavior.” 2010. Web. 17 Jun 2019.

Vancouver:

Schwartz H. Evaluating substantive conclusions based on incomplete data: a methodological comparison of missing data techniques used in a study of the effect of race on teachers' evaluations of students' classroom behavior. [Internet] [Masters thesis]. California State University – Sacramento; 2010. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10211.9/85.

Council of Science Editors:

Schwartz H. Evaluating substantive conclusions based on incomplete data: a methodological comparison of missing data techniques used in a study of the effect of race on teachers' evaluations of students' classroom behavior. [Masters Thesis]. California State University – Sacramento; 2010. Available from: http://hdl.handle.net/10211.9/85


University of Victoria

24. Lu, Linghong. Techniques for analyzing high throughput molecular biology data.

Degree: Dept. of Mathematics and Statistics, 2011, University of Victoria

 The application of ultrahigh-field Fourier transform ion cyclotron resonance mass spectrometry (FTICR-MS) technology to identify and quantify metabolomics data is relatively new. An important feature… (more)

Subjects/Keywords: high throughput biology data; statistical analysis; differential expression

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APA (6th Edition):

Lu, L. (2011). Techniques for analyzing high throughput molecular biology data. (Masters Thesis). University of Victoria. Retrieved from http://hdl.handle.net/1828/3566

Chicago Manual of Style (16th Edition):

Lu, Linghong. “Techniques for analyzing high throughput molecular biology data.” 2011. Masters Thesis, University of Victoria. Accessed June 17, 2019. http://hdl.handle.net/1828/3566.

MLA Handbook (7th Edition):

Lu, Linghong. “Techniques for analyzing high throughput molecular biology data.” 2011. Web. 17 Jun 2019.

Vancouver:

Lu L. Techniques for analyzing high throughput molecular biology data. [Internet] [Masters thesis]. University of Victoria; 2011. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/1828/3566.

Council of Science Editors:

Lu L. Techniques for analyzing high throughput molecular biology data. [Masters Thesis]. University of Victoria; 2011. Available from: http://hdl.handle.net/1828/3566


University of Manchester

25. Wallis, Christopher George Roy. Data analysis techniques useful for the detection of B-mode polarisation of the Cosmic Microwave Background.

Degree: 2015, University of Manchester

Asymmetric beams can create significant bias in estimates of the power spectra from cosmic microwave background (CMB) experiments. With the temperature power spectrum many orders… (more)

Subjects/Keywords: methods: data analysis; methods: statistical; cosmology: cosmic microwave background

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APA (6th Edition):

Wallis, C. G. R. (2015). Data analysis techniques useful for the detection of B-mode polarisation of the Cosmic Microwave Background. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:283668

Chicago Manual of Style (16th Edition):

Wallis, Christopher George Roy. “Data analysis techniques useful for the detection of B-mode polarisation of the Cosmic Microwave Background.” 2015. Doctoral Dissertation, University of Manchester. Accessed June 17, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:283668.

MLA Handbook (7th Edition):

Wallis, Christopher George Roy. “Data analysis techniques useful for the detection of B-mode polarisation of the Cosmic Microwave Background.” 2015. Web. 17 Jun 2019.

Vancouver:

Wallis CGR. Data analysis techniques useful for the detection of B-mode polarisation of the Cosmic Microwave Background. [Internet] [Doctoral dissertation]. University of Manchester; 2015. [cited 2019 Jun 17]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:283668.

Council of Science Editors:

Wallis CGR. Data analysis techniques useful for the detection of B-mode polarisation of the Cosmic Microwave Background. [Doctoral Dissertation]. University of Manchester; 2015. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:283668


Massey University

26. Smith, Paul F. A comparison of univariate and multivariate statistical and data mining approaches to the behavioural and biochemical effects of vestibular loss related to the hippocampus : a thesis submitted in partial fulfilment of the requirements of the MApplStat in Applied Statistics, Massey University, Manawatu .

Degree: 2013, Massey University

 Vestibular dysfunction is associated with a complex syndrome of cognitive and anxiety disorders. However, most studies have used simple univariate analyses of the effects of… (more)

Subjects/Keywords: Multivariate analysis; Vestibular apparatus; Hippocampus (Brain); Pathophysiology; Statistical methods; Data mining

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APA (6th Edition):

Smith, P. F. (2013). A comparison of univariate and multivariate statistical and data mining approaches to the behavioural and biochemical effects of vestibular loss related to the hippocampus : a thesis submitted in partial fulfilment of the requirements of the MApplStat in Applied Statistics, Massey University, Manawatu . (Thesis). Massey University. Retrieved from http://hdl.handle.net/10179/4615

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Smith, Paul F. “A comparison of univariate and multivariate statistical and data mining approaches to the behavioural and biochemical effects of vestibular loss related to the hippocampus : a thesis submitted in partial fulfilment of the requirements of the MApplStat in Applied Statistics, Massey University, Manawatu .” 2013. Thesis, Massey University. Accessed June 17, 2019. http://hdl.handle.net/10179/4615.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Smith, Paul F. “A comparison of univariate and multivariate statistical and data mining approaches to the behavioural and biochemical effects of vestibular loss related to the hippocampus : a thesis submitted in partial fulfilment of the requirements of the MApplStat in Applied Statistics, Massey University, Manawatu .” 2013. Web. 17 Jun 2019.

Vancouver:

Smith PF. A comparison of univariate and multivariate statistical and data mining approaches to the behavioural and biochemical effects of vestibular loss related to the hippocampus : a thesis submitted in partial fulfilment of the requirements of the MApplStat in Applied Statistics, Massey University, Manawatu . [Internet] [Thesis]. Massey University; 2013. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/10179/4615.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Smith PF. A comparison of univariate and multivariate statistical and data mining approaches to the behavioural and biochemical effects of vestibular loss related to the hippocampus : a thesis submitted in partial fulfilment of the requirements of the MApplStat in Applied Statistics, Massey University, Manawatu . [Thesis]. Massey University; 2013. Available from: http://hdl.handle.net/10179/4615

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Aberystwyth University

27. Riley, Michael. Significant pattern discovery in gene location and phylogeny.

Degree: PhD, 2009, Aberystwyth University

 This thesis documents the investigation into the acquisition of knowledge from biological data using computational methods for the discovery of significantly frequent patterns in gene… (more)

Subjects/Keywords: 576.880285; biological data; statistical analysis

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APA (6th Edition):

Riley, M. (2009). Significant pattern discovery in gene location and phylogeny. (Doctoral Dissertation). Aberystwyth University. Retrieved from http://hdl.handle.net/2160/fbabd607-ae86-44ed-a3f1-9eb2c461da32

Chicago Manual of Style (16th Edition):

Riley, Michael. “Significant pattern discovery in gene location and phylogeny.” 2009. Doctoral Dissertation, Aberystwyth University. Accessed June 17, 2019. http://hdl.handle.net/2160/fbabd607-ae86-44ed-a3f1-9eb2c461da32.

MLA Handbook (7th Edition):

Riley, Michael. “Significant pattern discovery in gene location and phylogeny.” 2009. Web. 17 Jun 2019.

Vancouver:

Riley M. Significant pattern discovery in gene location and phylogeny. [Internet] [Doctoral dissertation]. Aberystwyth University; 2009. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2160/fbabd607-ae86-44ed-a3f1-9eb2c461da32.

Council of Science Editors:

Riley M. Significant pattern discovery in gene location and phylogeny. [Doctoral Dissertation]. Aberystwyth University; 2009. Available from: http://hdl.handle.net/2160/fbabd607-ae86-44ed-a3f1-9eb2c461da32


University of Adelaide

28. Gillam, Marianne Knarberg Hansen. Time to event analysis of arthroplasty registry data.

Degree: 2013, University of Adelaide

 Background: Arthroplasty registry data are traditionally analysed using standard survival methods, that is, Kaplan-Meier survival curves and the Cox proportional hazards model. The outcome of… (more)

Subjects/Keywords: arthroplasty; hip; knee; statistical analysis; multi-state models; registry data

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APA (6th Edition):

Gillam, M. K. H. (2013). Time to event analysis of arthroplasty registry data. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/82454

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Gillam, Marianne Knarberg Hansen. “Time to event analysis of arthroplasty registry data.” 2013. Thesis, University of Adelaide. Accessed June 17, 2019. http://hdl.handle.net/2440/82454.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Gillam, Marianne Knarberg Hansen. “Time to event analysis of arthroplasty registry data.” 2013. Web. 17 Jun 2019.

Vancouver:

Gillam MKH. Time to event analysis of arthroplasty registry data. [Internet] [Thesis]. University of Adelaide; 2013. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/2440/82454.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Gillam MKH. Time to event analysis of arthroplasty registry data. [Thesis]. University of Adelaide; 2013. Available from: http://hdl.handle.net/2440/82454

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Cambridge

29. Brown, Scott William. Characterization and mitigation of radiation damage on the Gaia Astrometric Field.

Degree: PhD, 2011, University of Cambridge

 In November 2012, the European Space Agency (ESA) is planning to launch Gaia, a mission designed to measure with microarcsecond accuracy the astrometric properties of… (more)

Subjects/Keywords: 520; Satellites; Astrometry; Detectors; Radiation damage; Data analysis; Statistical; Calibration

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Brown, S. W. (2011). Characterization and mitigation of radiation damage on the Gaia Astrometric Field. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/238290 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541902

Chicago Manual of Style (16th Edition):

Brown, Scott William. “Characterization and mitigation of radiation damage on the Gaia Astrometric Field.” 2011. Doctoral Dissertation, University of Cambridge. Accessed June 17, 2019. https://www.repository.cam.ac.uk/handle/1810/238290 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541902.

MLA Handbook (7th Edition):

Brown, Scott William. “Characterization and mitigation of radiation damage on the Gaia Astrometric Field.” 2011. Web. 17 Jun 2019.

Vancouver:

Brown SW. Characterization and mitigation of radiation damage on the Gaia Astrometric Field. [Internet] [Doctoral dissertation]. University of Cambridge; 2011. [cited 2019 Jun 17]. Available from: https://www.repository.cam.ac.uk/handle/1810/238290 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541902.

Council of Science Editors:

Brown SW. Characterization and mitigation of radiation damage on the Gaia Astrometric Field. [Doctoral Dissertation]. University of Cambridge; 2011. Available from: https://www.repository.cam.ac.uk/handle/1810/238290 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.541902


Curtin University of Technology

30. Jiang, Zhenyu. Statistical analysis of genomic data : a new model for class prediction and inference .

Degree: 2011, Curtin University of Technology

 Genomics is a major scientific revolution in this century. High-throughput genomic data provides an opportunity for identifying genes and SNPs (singlenucleotide polymorphism) that are related… (more)

Subjects/Keywords: genomic data; class prediction; class inference; Statistical analysis

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jiang, Z. (2011). Statistical analysis of genomic data : a new model for class prediction and inference . (Thesis). Curtin University of Technology. Retrieved from http://hdl.handle.net/20.500.11937/1017

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jiang, Zhenyu. “Statistical analysis of genomic data : a new model for class prediction and inference .” 2011. Thesis, Curtin University of Technology. Accessed June 17, 2019. http://hdl.handle.net/20.500.11937/1017.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jiang, Zhenyu. “Statistical analysis of genomic data : a new model for class prediction and inference .” 2011. Web. 17 Jun 2019.

Vancouver:

Jiang Z. Statistical analysis of genomic data : a new model for class prediction and inference . [Internet] [Thesis]. Curtin University of Technology; 2011. [cited 2019 Jun 17]. Available from: http://hdl.handle.net/20.500.11937/1017.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jiang Z. Statistical analysis of genomic data : a new model for class prediction and inference . [Thesis]. Curtin University of Technology; 2011. Available from: http://hdl.handle.net/20.500.11937/1017

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

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