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You searched for subject:(Longitudinal Data). Showing records 1 – 30 of 437 total matches.

[1] [2] [3] [4] [5] … [15]

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University of Georgia

1. Yanosky, Daniel J. Comparability of covariance structures and accuracy of information criteria in mixed model methods for longitudinal data analysis.

Degree: PhD, Educational Psychology, 2007, University of Georgia

 Modern mixed model methods for analyzing longitudinal data require researchers to select a covariance structure for the data to fully specify the model and obtain… (more)

Subjects/Keywords: Longitudinal data analysis

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

APA (6th Edition):

Yanosky, D. J. (2007). Comparability of covariance structures and accuracy of information criteria in mixed model methods for longitudinal data analysis. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/yanosky_daniel_j_200705_phd

Chicago Manual of Style (16th Edition):

Yanosky, Daniel J. “Comparability of covariance structures and accuracy of information criteria in mixed model methods for longitudinal data analysis.” 2007. Doctoral Dissertation, University of Georgia. Accessed September 22, 2019. http://purl.galileo.usg.edu/uga_etd/yanosky_daniel_j_200705_phd.

MLA Handbook (7th Edition):

Yanosky, Daniel J. “Comparability of covariance structures and accuracy of information criteria in mixed model methods for longitudinal data analysis.” 2007. Web. 22 Sep 2019.

Vancouver:

Yanosky DJ. Comparability of covariance structures and accuracy of information criteria in mixed model methods for longitudinal data analysis. [Internet] [Doctoral dissertation]. University of Georgia; 2007. [cited 2019 Sep 22]. Available from: http://purl.galileo.usg.edu/uga_etd/yanosky_daniel_j_200705_phd.

Council of Science Editors:

Yanosky DJ. Comparability of covariance structures and accuracy of information criteria in mixed model methods for longitudinal data analysis. [Doctoral Dissertation]. University of Georgia; 2007. Available from: http://purl.galileo.usg.edu/uga_etd/yanosky_daniel_j_200705_phd

2. Dunsiger, Shira. Analysis of Longitudinal Binary Data from Behavioral Medicine.

Degree: PhD, Division of Biology and Medicine. Biostatistics, 2009, Brown University

 This thesis work is motivated by the specific challenges in analyzing data from clinical trials in behavioral medicine. Specifically, smoking cessation and physical activity trials.… (more)

Subjects/Keywords: longitudinal binary data

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APA (6th Edition):

Dunsiger, S. (2009). Analysis of Longitudinal Binary Data from Behavioral Medicine. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:81/

Chicago Manual of Style (16th Edition):

Dunsiger, Shira. “Analysis of Longitudinal Binary Data from Behavioral Medicine.” 2009. Doctoral Dissertation, Brown University. Accessed September 22, 2019. https://repository.library.brown.edu/studio/item/bdr:81/.

MLA Handbook (7th Edition):

Dunsiger, Shira. “Analysis of Longitudinal Binary Data from Behavioral Medicine.” 2009. Web. 22 Sep 2019.

Vancouver:

Dunsiger S. Analysis of Longitudinal Binary Data from Behavioral Medicine. [Internet] [Doctoral dissertation]. Brown University; 2009. [cited 2019 Sep 22]. Available from: https://repository.library.brown.edu/studio/item/bdr:81/.

Council of Science Editors:

Dunsiger S. Analysis of Longitudinal Binary Data from Behavioral Medicine. [Doctoral Dissertation]. Brown University; 2009. Available from: https://repository.library.brown.edu/studio/item/bdr:81/


Texas A&M University

3. Chen, Min. Modeling covariance structure in unbalanced longitudinal data.

Degree: 2009, Texas A&M University

 Modeling covariance structure is important for efficient estimation in longitudinal data models. Modified Cholesky decomposition (Pourahmadi, 1999) is used as an unconstrained reparameterization of the… (more)

Subjects/Keywords: Longitudinal data; Unbalanced; Covariance

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APA (6th Edition):

Chen, M. (2009). Modeling covariance structure in unbalanced longitudinal data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/ETD-TAMU-3073

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):

Chen, Min. “Modeling covariance structure in unbalanced longitudinal data.” 2009. Thesis, Texas A&M University. Accessed September 22, 2019. http://hdl.handle.net/1969.1/ETD-TAMU-3073.

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

MLA Handbook (7th Edition):

Chen, Min. “Modeling covariance structure in unbalanced longitudinal data.” 2009. Web. 22 Sep 2019.

Vancouver:

Chen M. Modeling covariance structure in unbalanced longitudinal data. [Internet] [Thesis]. Texas A&M University; 2009. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3073.

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

Council of Science Editors:

Chen M. Modeling covariance structure in unbalanced longitudinal data. [Thesis]. Texas A&M University; 2009. Available from: http://hdl.handle.net/1969.1/ETD-TAMU-3073

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


Victoria University of Wellington

4. Li, Xiaomei. Approaches to Modelling Heterogeneity in Longitudinal Studies.

Degree: 2011, Victoria University of Wellington

 This thesis is about estimation bias of longitudinal data when there is correlation between the explanatory variable and the individual effect. In our study, we… (more)

Subjects/Keywords: Longitudinal data analysis; Estimation bias

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APA (6th Edition):

Li, X. (2011). Approaches to Modelling Heterogeneity in Longitudinal Studies. (Masters Thesis). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/1695

Chicago Manual of Style (16th Edition):

Li, Xiaomei. “Approaches to Modelling Heterogeneity in Longitudinal Studies.” 2011. Masters Thesis, Victoria University of Wellington. Accessed September 22, 2019. http://hdl.handle.net/10063/1695.

MLA Handbook (7th Edition):

Li, Xiaomei. “Approaches to Modelling Heterogeneity in Longitudinal Studies.” 2011. Web. 22 Sep 2019.

Vancouver:

Li X. Approaches to Modelling Heterogeneity in Longitudinal Studies. [Internet] [Masters thesis]. Victoria University of Wellington; 2011. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/10063/1695.

Council of Science Editors:

Li X. Approaches to Modelling Heterogeneity in Longitudinal Studies. [Masters Thesis]. Victoria University of Wellington; 2011. Available from: http://hdl.handle.net/10063/1695


Penn State University

5. Das, Kiranmoy. SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA.

Degree: PhD, Statistics, 2011, Penn State University

 Genome-wide Association Studies, popularly known as GWAS, are playing a key role in understanding the genetic patterns of various traits and diseases. Despite the potential… (more)

Subjects/Keywords: Longitudinal data; functional mapping; MCMC

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

APA (6th Edition):

Das, K. (2011). SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/12109

Chicago Manual of Style (16th Edition):

Das, Kiranmoy. “SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA.” 2011. Doctoral Dissertation, Penn State University. Accessed September 22, 2019. https://etda.libraries.psu.edu/catalog/12109.

MLA Handbook (7th Edition):

Das, Kiranmoy. “SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA.” 2011. Web. 22 Sep 2019.

Vancouver:

Das K. SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA. [Internet] [Doctoral dissertation]. Penn State University; 2011. [cited 2019 Sep 22]. Available from: https://etda.libraries.psu.edu/catalog/12109.

Council of Science Editors:

Das K. SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA. [Doctoral Dissertation]. Penn State University; 2011. Available from: https://etda.libraries.psu.edu/catalog/12109


University of California – Berkeley

6. Colborn, Kathryn Louise. Statistical models for longitudinal analysis of single and mixed species infections.

Degree: Biostatistics, 2013, University of California – Berkeley

 AbstractStatistical models for longitudinal analysis of single and mixed species infectionsByKathryn Louise ColbornDoctor of Philosophy in BiostatisticsUniversity of California, BerkeleyProfessor Terence P. Speed, ChairThere are… (more)

Subjects/Keywords: Biostatistics; biostatistics; longitudinal data; malaria

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APA (6th Edition):

Colborn, K. L. (2013). Statistical models for longitudinal analysis of single and mixed species infections. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/4r54q8nq

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):

Colborn, Kathryn Louise. “Statistical models for longitudinal analysis of single and mixed species infections.” 2013. Thesis, University of California – Berkeley. Accessed September 22, 2019. http://www.escholarship.org/uc/item/4r54q8nq.

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

MLA Handbook (7th Edition):

Colborn, Kathryn Louise. “Statistical models for longitudinal analysis of single and mixed species infections.” 2013. Web. 22 Sep 2019.

Vancouver:

Colborn KL. Statistical models for longitudinal analysis of single and mixed species infections. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2019 Sep 22]. Available from: http://www.escholarship.org/uc/item/4r54q8nq.

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

Council of Science Editors:

Colborn KL. Statistical models for longitudinal analysis of single and mixed species infections. [Thesis]. University of California – Berkeley; 2013. Available from: http://www.escholarship.org/uc/item/4r54q8nq

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


Queensland University of Technology

7. Rolfe, Margaret Irene. Bayesian models for longitudinal data.

Degree: 2010, Queensland University of Technology

Longitudinal data, where data are repeatedly observed or measured on a temporal basis of time or age provides the foundation of the analysis of processes… (more)

Subjects/Keywords: Bayesian models; longitudinal data

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

APA (6th Edition):

Rolfe, M. I. (2010). Bayesian models for longitudinal data. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/34435/

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):

Rolfe, Margaret Irene. “Bayesian models for longitudinal data.” 2010. Thesis, Queensland University of Technology. Accessed September 22, 2019. https://eprints.qut.edu.au/34435/.

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

MLA Handbook (7th Edition):

Rolfe, Margaret Irene. “Bayesian models for longitudinal data.” 2010. Web. 22 Sep 2019.

Vancouver:

Rolfe MI. Bayesian models for longitudinal data. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2019 Sep 22]. Available from: https://eprints.qut.edu.au/34435/.

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

Council of Science Editors:

Rolfe MI. Bayesian models for longitudinal data. [Thesis]. Queensland University of Technology; 2010. Available from: https://eprints.qut.edu.au/34435/

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


University of Adelaide

8. Longstaff, Tessa. Analysis of longitudinal data in perinatal trials when the length of follow-up is informative.

Degree: 2016, University of Adelaide

 Background: Most commonly used statistical methods assume that the data consist of independent observations. Clustered data occur in many settings, such as longitudinal studies, where… (more)

Subjects/Keywords: longitudinal data; analysis; perinatal trial

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APA (6th Edition):

Longstaff, T. (2016). Analysis of longitudinal data in perinatal trials when the length of follow-up is informative. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/100192

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):

Longstaff, Tessa. “Analysis of longitudinal data in perinatal trials when the length of follow-up is informative.” 2016. Thesis, University of Adelaide. Accessed September 22, 2019. http://hdl.handle.net/2440/100192.

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

MLA Handbook (7th Edition):

Longstaff, Tessa. “Analysis of longitudinal data in perinatal trials when the length of follow-up is informative.” 2016. Web. 22 Sep 2019.

Vancouver:

Longstaff T. Analysis of longitudinal data in perinatal trials when the length of follow-up is informative. [Internet] [Thesis]. University of Adelaide; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/2440/100192.

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

Council of Science Editors:

Longstaff T. Analysis of longitudinal data in perinatal trials when the length of follow-up is informative. [Thesis]. University of Adelaide; 2016. Available from: http://hdl.handle.net/2440/100192

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


Duquesne University

9. Baumgardner, Adam. Accounting for Correlation in the Analysis of Randomized Controlled Trials with Multiple Layers of Clustering.

Degree: MS, Computational Mathematics, 2016, Duquesne University

 A common goal in medical research is to determine the effect that a treatment has on subjects over time. Unfortunately, the analysis of data from… (more)

Subjects/Keywords: Longitudinal Data; Mixed Effects Models

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

APA (6th Edition):

Baumgardner, A. (2016). Accounting for Correlation in the Analysis of Randomized Controlled Trials with Multiple Layers of Clustering. (Masters Thesis). Duquesne University. Retrieved from https://dsc.duq.edu/etd/296

Chicago Manual of Style (16th Edition):

Baumgardner, Adam. “Accounting for Correlation in the Analysis of Randomized Controlled Trials with Multiple Layers of Clustering.” 2016. Masters Thesis, Duquesne University. Accessed September 22, 2019. https://dsc.duq.edu/etd/296.

MLA Handbook (7th Edition):

Baumgardner, Adam. “Accounting for Correlation in the Analysis of Randomized Controlled Trials with Multiple Layers of Clustering.” 2016. Web. 22 Sep 2019.

Vancouver:

Baumgardner A. Accounting for Correlation in the Analysis of Randomized Controlled Trials with Multiple Layers of Clustering. [Internet] [Masters thesis]. Duquesne University; 2016. [cited 2019 Sep 22]. Available from: https://dsc.duq.edu/etd/296.

Council of Science Editors:

Baumgardner A. Accounting for Correlation in the Analysis of Randomized Controlled Trials with Multiple Layers of Clustering. [Masters Thesis]. Duquesne University; 2016. Available from: https://dsc.duq.edu/etd/296


Vanderbilt University

10. VanHouten, Jacob Paul. A Modified Random Forest Kernel for Highly Nonstationary Gaussian Process Regression with Application to Clinical Data.

Degree: MS, Biostatistics, 2016, Vanderbilt University

 Nonstationary Gaussian process regression can be used to transform irregularly episodic and noisy measurements into continuous probability densities to make them more compatible with standard… (more)

Subjects/Keywords: statistics; machine learning; data mining; longitudinal data

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APA (6th Edition):

VanHouten, J. P. (2016). A Modified Random Forest Kernel for Highly Nonstationary Gaussian Process Regression with Application to Clinical Data. (Masters Thesis). Vanderbilt University. Retrieved from http://etd.library.vanderbilt.edu/available/etd-07222016-224434/ ;

Chicago Manual of Style (16th Edition):

VanHouten, Jacob Paul. “A Modified Random Forest Kernel for Highly Nonstationary Gaussian Process Regression with Application to Clinical Data.” 2016. Masters Thesis, Vanderbilt University. Accessed September 22, 2019. http://etd.library.vanderbilt.edu/available/etd-07222016-224434/ ;.

MLA Handbook (7th Edition):

VanHouten, Jacob Paul. “A Modified Random Forest Kernel for Highly Nonstationary Gaussian Process Regression with Application to Clinical Data.” 2016. Web. 22 Sep 2019.

Vancouver:

VanHouten JP. A Modified Random Forest Kernel for Highly Nonstationary Gaussian Process Regression with Application to Clinical Data. [Internet] [Masters thesis]. Vanderbilt University; 2016. [cited 2019 Sep 22]. Available from: http://etd.library.vanderbilt.edu/available/etd-07222016-224434/ ;.

Council of Science Editors:

VanHouten JP. A Modified Random Forest Kernel for Highly Nonstationary Gaussian Process Regression with Application to Clinical Data. [Masters Thesis]. Vanderbilt University; 2016. Available from: http://etd.library.vanderbilt.edu/available/etd-07222016-224434/ ;


University of Ottawa

11. Sehatkar, Morvarid. Towards a Privacy Preserving Framework for Publishing Longitudinal Data .

Degree: 2014, University of Ottawa

 Recent advances in information technology have enabled public organizations and corporations to collect and store huge amounts of individuals' data in data repositories. Such data(more)

Subjects/Keywords: Longitudinal data; Anonymization; Privacy preserving data publishing; Data mining; Sequence data

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APA (6th Edition):

Sehatkar, M. (2014). Towards a Privacy Preserving Framework for Publishing Longitudinal Data . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/31629

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):

Sehatkar, Morvarid. “Towards a Privacy Preserving Framework for Publishing Longitudinal Data .” 2014. Thesis, University of Ottawa. Accessed September 22, 2019. http://hdl.handle.net/10393/31629.

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

MLA Handbook (7th Edition):

Sehatkar, Morvarid. “Towards a Privacy Preserving Framework for Publishing Longitudinal Data .” 2014. Web. 22 Sep 2019.

Vancouver:

Sehatkar M. Towards a Privacy Preserving Framework for Publishing Longitudinal Data . [Internet] [Thesis]. University of Ottawa; 2014. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/10393/31629.

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

Council of Science Editors:

Sehatkar M. Towards a Privacy Preserving Framework for Publishing Longitudinal Data . [Thesis]. University of Ottawa; 2014. Available from: http://hdl.handle.net/10393/31629

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


University of Edinburgh

12. Holm Hansen, Christian. Analysis of routinely collected repeated patient outcomes.

Degree: PhD, 2014, University of Edinburgh

 Clinical practice should be based on the best available evidence. Ideally such evidence is obtained through rigorously conducted, purpose-designed clinical studies such as randomised controlled… (more)

Subjects/Keywords: 610.72; medical statistics; missing data; longitudinal analysis

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APA (6th Edition):

Holm Hansen, C. (2014). Analysis of routinely collected repeated patient outcomes. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/9556

Chicago Manual of Style (16th Edition):

Holm Hansen, Christian. “Analysis of routinely collected repeated patient outcomes.” 2014. Doctoral Dissertation, University of Edinburgh. Accessed September 22, 2019. http://hdl.handle.net/1842/9556.

MLA Handbook (7th Edition):

Holm Hansen, Christian. “Analysis of routinely collected repeated patient outcomes.” 2014. Web. 22 Sep 2019.

Vancouver:

Holm Hansen C. Analysis of routinely collected repeated patient outcomes. [Internet] [Doctoral dissertation]. University of Edinburgh; 2014. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1842/9556.

Council of Science Editors:

Holm Hansen C. Analysis of routinely collected repeated patient outcomes. [Doctoral Dissertation]. University of Edinburgh; 2014. Available from: http://hdl.handle.net/1842/9556


University of Manchester

13. Carter, Lesley-Anne. Rigorous methods for the analysis, reporting and evaluation of ESM style data.

Degree: PhD, 2016, University of Manchester

 Experience sampling methodology (ESM) is a real-time data capture method that can be used to monitor symptoms and behaviours as they occur during everyday life.… (more)

Subjects/Keywords: 001.4; Experience sampling; Multilevel; Intensive longitudinal data

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APA (6th Edition):

Carter, L. (2016). Rigorous methods for the analysis, reporting and evaluation of ESM style data. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/rigorous-methods-for-the-analysis-reporting-and-evaluation-of-esm-style-data(5c022c50-c399-4388-b76f-a02af55be4ad).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701110

Chicago Manual of Style (16th Edition):

Carter, Lesley-Anne. “Rigorous methods for the analysis, reporting and evaluation of ESM style data.” 2016. Doctoral Dissertation, University of Manchester. Accessed September 22, 2019. https://www.research.manchester.ac.uk/portal/en/theses/rigorous-methods-for-the-analysis-reporting-and-evaluation-of-esm-style-data(5c022c50-c399-4388-b76f-a02af55be4ad).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701110.

MLA Handbook (7th Edition):

Carter, Lesley-Anne. “Rigorous methods for the analysis, reporting and evaluation of ESM style data.” 2016. Web. 22 Sep 2019.

Vancouver:

Carter L. Rigorous methods for the analysis, reporting and evaluation of ESM style data. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2019 Sep 22]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/rigorous-methods-for-the-analysis-reporting-and-evaluation-of-esm-style-data(5c022c50-c399-4388-b76f-a02af55be4ad).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701110.

Council of Science Editors:

Carter L. Rigorous methods for the analysis, reporting and evaluation of ESM style data. [Doctoral Dissertation]. University of Manchester; 2016. Available from: https://www.research.manchester.ac.uk/portal/en/theses/rigorous-methods-for-the-analysis-reporting-and-evaluation-of-esm-style-data(5c022c50-c399-4388-b76f-a02af55be4ad).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.701110


Texas A&M University

14. Ju, Hyunsu. Topics in analyzing longitudinal data.

Degree: 2005, Texas A&M University

 We propose methods for analyzing longitudinal data, obtained in clinical trials and other applications with repeated measures of responses taken over time. Common characteristics of… (more)

Subjects/Keywords: Analyzing Longitudinal Data

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APA (6th Edition):

Ju, H. (2005). Topics in analyzing longitudinal data. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/1565

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):

Ju, Hyunsu. “Topics in analyzing longitudinal data.” 2005. Thesis, Texas A&M University. Accessed September 22, 2019. http://hdl.handle.net/1969.1/1565.

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

MLA Handbook (7th Edition):

Ju, Hyunsu. “Topics in analyzing longitudinal data.” 2005. Web. 22 Sep 2019.

Vancouver:

Ju H. Topics in analyzing longitudinal data. [Internet] [Thesis]. Texas A&M University; 2005. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1969.1/1565.

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

Council of Science Editors:

Ju H. Topics in analyzing longitudinal data. [Thesis]. Texas A&M University; 2005. Available from: http://hdl.handle.net/1969.1/1565

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


University of North Texas Health Science Center

15. Patel, Nita. Using Generalized Estimating Equations to Analyze Alcohol Consumption and Job Displacement among Older Workers.

Degree: Doctor of Public Health, School of Public Health, 2010, University of North Texas Health Science Center

  The objectives of this dissertation were to compare differences in alcohol consumption among the older workers (aged 51 to 61 years) who have experienced… (more)

Subjects/Keywords: longitudinal data; job displacement; alcohol consumption

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APA (6th Edition):

Patel, N. (2010). Using Generalized Estimating Equations to Analyze Alcohol Consumption and Job Displacement among Older Workers. (Thesis). University of North Texas Health Science Center. Retrieved from http://digitalcommons.hsc.unt.edu/theses/91

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):

Patel, Nita. “Using Generalized Estimating Equations to Analyze Alcohol Consumption and Job Displacement among Older Workers.” 2010. Thesis, University of North Texas Health Science Center. Accessed September 22, 2019. http://digitalcommons.hsc.unt.edu/theses/91.

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

MLA Handbook (7th Edition):

Patel, Nita. “Using Generalized Estimating Equations to Analyze Alcohol Consumption and Job Displacement among Older Workers.” 2010. Web. 22 Sep 2019.

Vancouver:

Patel N. Using Generalized Estimating Equations to Analyze Alcohol Consumption and Job Displacement among Older Workers. [Internet] [Thesis]. University of North Texas Health Science Center; 2010. [cited 2019 Sep 22]. Available from: http://digitalcommons.hsc.unt.edu/theses/91.

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

Council of Science Editors:

Patel N. Using Generalized Estimating Equations to Analyze Alcohol Consumption and Job Displacement among Older Workers. [Thesis]. University of North Texas Health Science Center; 2010. Available from: http://digitalcommons.hsc.unt.edu/theses/91

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


Baylor University

16. [No author]. Some new applications of Bayesian longitudinal models.

Degree: 2016, Baylor University

 In this dissertation we consider some novel applications of Bayesian longitudinal methods. As inference is generally focused on response of an individual, we work within… (more)

Subjects/Keywords: Longitudinal data. Meta-analysis. Beta regression. Bayesian.

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

APA (6th Edition):

author], [. (2016). Some new applications of Bayesian longitudinal models. (Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/9804

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):

author], [No. “Some new applications of Bayesian longitudinal models. ” 2016. Thesis, Baylor University. Accessed September 22, 2019. http://hdl.handle.net/2104/9804.

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

MLA Handbook (7th Edition):

author], [No. “Some new applications of Bayesian longitudinal models. ” 2016. Web. 22 Sep 2019.

Vancouver:

author] [. Some new applications of Bayesian longitudinal models. [Internet] [Thesis]. Baylor University; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/2104/9804.

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

Council of Science Editors:

author] [. Some new applications of Bayesian longitudinal models. [Thesis]. Baylor University; 2016. Available from: http://hdl.handle.net/2104/9804

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


Cornell University

17. Smith, Rebecca. Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis .

Degree: 2011, Cornell University

 Mycobacterium avium subsp. paratuberculosis (MAP) causes infections in ruminants characterized by long latent periods, imperfect diagnostic tests, and production effects sufficient to result in early… (more)

Subjects/Keywords: statistical modeling; Mycobacterium avium paratuberculosis; longitudinal data

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APA (6th Edition):

Smith, R. (2011). Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis . (Thesis). Cornell University. Retrieved from http://hdl.handle.net/1813/30713

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, Rebecca. “Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis .” 2011. Thesis, Cornell University. Accessed September 22, 2019. http://hdl.handle.net/1813/30713.

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

MLA Handbook (7th Edition):

Smith, Rebecca. “Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis .” 2011. Web. 22 Sep 2019.

Vancouver:

Smith R. Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis . [Internet] [Thesis]. Cornell University; 2011. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1813/30713.

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

Council of Science Editors:

Smith R. Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis . [Thesis]. Cornell University; 2011. Available from: http://hdl.handle.net/1813/30713

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


University of Washington

18. Schaal, LaNae Solomon. A Simpler Model for the Impact of Atrial Fibrillation on Cognitive Trajectories in the Elderly.

Degree: 2016, University of Washington

 In their 2013 paper “Atrial fibrillation and cognitive decline: A longitudinal cohort study”, Dr. Thacker and colleagues investigated whether, in the absence of clinical stroke,… (more)

Subjects/Keywords: longitudinal data; regression model; Biostatistics; biostatistics

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APA (6th Edition):

Schaal, L. S. (2016). A Simpler Model for the Impact of Atrial Fibrillation on Cognitive Trajectories in the Elderly. (Thesis). University of Washington. Retrieved from http://hdl.handle.net/1773/35143

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):

Schaal, LaNae Solomon. “A Simpler Model for the Impact of Atrial Fibrillation on Cognitive Trajectories in the Elderly.” 2016. Thesis, University of Washington. Accessed September 22, 2019. http://hdl.handle.net/1773/35143.

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

MLA Handbook (7th Edition):

Schaal, LaNae Solomon. “A Simpler Model for the Impact of Atrial Fibrillation on Cognitive Trajectories in the Elderly.” 2016. Web. 22 Sep 2019.

Vancouver:

Schaal LS. A Simpler Model for the Impact of Atrial Fibrillation on Cognitive Trajectories in the Elderly. [Internet] [Thesis]. University of Washington; 2016. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/1773/35143.

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

Council of Science Editors:

Schaal LS. A Simpler Model for the Impact of Atrial Fibrillation on Cognitive Trajectories in the Elderly. [Thesis]. University of Washington; 2016. Available from: http://hdl.handle.net/1773/35143

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


University of Manchester

19. Carter, Lesley-Anne. Rigorous methods for the analysis, reporting and evaluation of ESM style data.

Degree: 2016, University of Manchester

 Experience sampling methodology (ESM) is a real-time data capture method that can be used to monitor symptoms and behaviours as they occur during everyday life.… (more)

Subjects/Keywords: Experience sampling; Multilevel; Intensive longitudinal data

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APA (6th Edition):

Carter, L. (2016). Rigorous methods for the analysis, reporting and evaluation of ESM style data. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305878

Chicago Manual of Style (16th Edition):

Carter, Lesley-Anne. “Rigorous methods for the analysis, reporting and evaluation of ESM style data.” 2016. Doctoral Dissertation, University of Manchester. Accessed September 22, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305878.

MLA Handbook (7th Edition):

Carter, Lesley-Anne. “Rigorous methods for the analysis, reporting and evaluation of ESM style data.” 2016. Web. 22 Sep 2019.

Vancouver:

Carter L. Rigorous methods for the analysis, reporting and evaluation of ESM style data. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2019 Sep 22]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305878.

Council of Science Editors:

Carter L. Rigorous methods for the analysis, reporting and evaluation of ESM style data. [Doctoral Dissertation]. University of Manchester; 2016. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:305878

20. Dong, Lei. Nonparametric tests for longitudinal data.

Degree: MS, Department of Statistics, 2009, Kansas State University

 The purpose of this report is to numerically compare several tests that are applicable to longitudinal data when the experiment contains a large number of… (more)

Subjects/Keywords: Longitudinal data; Nonparametric tests; Statistics (0463)

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APA (6th Edition):

Dong, L. (2009). Nonparametric tests for longitudinal data. (Masters Thesis). Kansas State University. Retrieved from http://hdl.handle.net/2097/2295

Chicago Manual of Style (16th Edition):

Dong, Lei. “Nonparametric tests for longitudinal data.” 2009. Masters Thesis, Kansas State University. Accessed September 22, 2019. http://hdl.handle.net/2097/2295.

MLA Handbook (7th Edition):

Dong, Lei. “Nonparametric tests for longitudinal data.” 2009. Web. 22 Sep 2019.

Vancouver:

Dong L. Nonparametric tests for longitudinal data. [Internet] [Masters thesis]. Kansas State University; 2009. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/2097/2295.

Council of Science Editors:

Dong L. Nonparametric tests for longitudinal data. [Masters Thesis]. Kansas State University; 2009. Available from: http://hdl.handle.net/2097/2295


McMaster University

21. 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 September 22, 2019. http://hdl.handle.net/11375/16614.

MLA Handbook (7th Edition):

Liu, Kai. “Statistical Analysis of Longitudinal Data with a Case Study.” 2015. Web. 22 Sep 2019.

Vancouver:

Liu K. Statistical Analysis of Longitudinal Data with a Case Study. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2019 Sep 22]. 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


University of Notre Dame

22. Manshu Yang. Treatment Effects in Randomized Longitudinal Trials with Different Types of Non-Ignorable Dropout</h1>.

Degree: PhD, Psychology, 2010, University of Notre Dame

  Randomized longitudinal designs are commonly used in medical and psychological studies to investigate the treatment effect of an intervention method or an experimental drug.… (more)

Subjects/Keywords: missing data; randomized trial; non-ignorable; longitudinal

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APA (6th Edition):

Yang, M. (2010). Treatment Effects in Randomized Longitudinal Trials with Different Types of Non-Ignorable Dropout</h1>. (Doctoral Dissertation). University of Notre Dame. Retrieved from https://curate.nd.edu/show/fb494744g4q

Chicago Manual of Style (16th Edition):

Yang, Manshu. “Treatment Effects in Randomized Longitudinal Trials with Different Types of Non-Ignorable Dropout</h1>.” 2010. Doctoral Dissertation, University of Notre Dame. Accessed September 22, 2019. https://curate.nd.edu/show/fb494744g4q.

MLA Handbook (7th Edition):

Yang, Manshu. “Treatment Effects in Randomized Longitudinal Trials with Different Types of Non-Ignorable Dropout</h1>.” 2010. Web. 22 Sep 2019.

Vancouver:

Yang M. Treatment Effects in Randomized Longitudinal Trials with Different Types of Non-Ignorable Dropout</h1>. [Internet] [Doctoral dissertation]. University of Notre Dame; 2010. [cited 2019 Sep 22]. Available from: https://curate.nd.edu/show/fb494744g4q.

Council of Science Editors:

Yang M. Treatment Effects in Randomized Longitudinal Trials with Different Types of Non-Ignorable Dropout</h1>. [Doctoral Dissertation]. University of Notre Dame; 2010. Available from: https://curate.nd.edu/show/fb494744g4q


University of Alberta

23. Luo, Dandan. Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data.

Degree: PhD, Department of Mathematical and Statistical Sciences, 2012, University of Alberta

Longitudinal studies of repeated observations on subjects are commonly undertaken in medical and biological sciences. The responses on a given occasion may be either univariate… (more)

Subjects/Keywords: Longitudinal Data Analysis; Zero-inflated Data; Clustered Data Analysis

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APA (6th Edition):

Luo, D. (2012). Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/s4655h86x

Chicago Manual of Style (16th Edition):

Luo, Dandan. “Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data.” 2012. Doctoral Dissertation, University of Alberta. Accessed September 22, 2019. https://era.library.ualberta.ca/files/s4655h86x.

MLA Handbook (7th Edition):

Luo, Dandan. “Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data.” 2012. Web. 22 Sep 2019.

Vancouver:

Luo D. Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data. [Internet] [Doctoral dissertation]. University of Alberta; 2012. [cited 2019 Sep 22]. Available from: https://era.library.ualberta.ca/files/s4655h86x.

Council of Science Editors:

Luo D. Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data. [Doctoral Dissertation]. University of Alberta; 2012. Available from: https://era.library.ualberta.ca/files/s4655h86x


University of Guelph

24. Gadgil, Harshavardhan. Data Integration from Multiple Historical Sources to Study Canadian Casualties of WWI .

Degree: 2017, University of Guelph

Longitudinal data (data that observe the same entities at different points in time), are of interest to historians and social scientists because they create opportunities… (more)

Subjects/Keywords: record linkage; data integration; historical data; longitudinal data

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

APA (6th Edition):

Gadgil, H. (2017). Data Integration from Multiple Historical Sources to Study Canadian Casualties of WWI . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/10284

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):

Gadgil, Harshavardhan. “Data Integration from Multiple Historical Sources to Study Canadian Casualties of WWI .” 2017. Thesis, University of Guelph. Accessed September 22, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/10284.

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

MLA Handbook (7th Edition):

Gadgil, Harshavardhan. “Data Integration from Multiple Historical Sources to Study Canadian Casualties of WWI .” 2017. Web. 22 Sep 2019.

Vancouver:

Gadgil H. Data Integration from Multiple Historical Sources to Study Canadian Casualties of WWI . [Internet] [Thesis]. University of Guelph; 2017. [cited 2019 Sep 22]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/10284.

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

Council of Science Editors:

Gadgil H. Data Integration from Multiple Historical Sources to Study Canadian Casualties of WWI . [Thesis]. University of Guelph; 2017. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/10284

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


University of KwaZulu-Natal

25. Kombo, Abdallah Yussuf. Statistical methods for handling incomplete longitudinal data with emphasis on discrete outcomes with application.

Degree: 2017, University of KwaZulu-Natal

 In longitudinal studies, measurements are taken repeatedly over time on the same ex- perimental unit. These measurements are thus correlated. The variances in repeated measures… (more)

Subjects/Keywords: Incomplete data.; Longitudinal data.; Discrete outcomes.; Non-ignorability.; Ignorability.

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APA (6th Edition):

Kombo, A. Y. (2017). Statistical methods for handling incomplete longitudinal data with emphasis on discrete outcomes with application. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/14502

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):

Kombo, Abdallah Yussuf. “Statistical methods for handling incomplete longitudinal data with emphasis on discrete outcomes with application.” 2017. Thesis, University of KwaZulu-Natal. Accessed September 22, 2019. http://hdl.handle.net/10413/14502.

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

MLA Handbook (7th Edition):

Kombo, Abdallah Yussuf. “Statistical methods for handling incomplete longitudinal data with emphasis on discrete outcomes with application.” 2017. Web. 22 Sep 2019.

Vancouver:

Kombo AY. Statistical methods for handling incomplete longitudinal data with emphasis on discrete outcomes with application. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2019 Sep 22]. Available from: http://hdl.handle.net/10413/14502.

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

Council of Science Editors:

Kombo AY. Statistical methods for handling incomplete longitudinal data with emphasis on discrete outcomes with application. [Thesis]. University of KwaZulu-Natal; 2017. Available from: http://hdl.handle.net/10413/14502

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


University of Pennsylvania

26. He, Jiwei. Causal Modeling Under Complex Dependency in Clustered and Longitudinal Observations.

Degree: 2014, University of Pennsylvania

 In assessing the efficacy of a time-varying treatment Marginal Structural Models (MSMs) and Structural Nested Mean Models (SNMMs) are useful in dealing with confounding by… (more)

Subjects/Keywords: Causal Inference; Clustered data; Longitudinal data; Structural models; Biostatistics

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APA (6th Edition):

He, J. (2014). Causal Modeling Under Complex Dependency in Clustered and Longitudinal Observations. (Thesis). University of Pennsylvania. Retrieved from https://repository.upenn.edu/edissertations/1311

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):

He, Jiwei. “Causal Modeling Under Complex Dependency in Clustered and Longitudinal Observations.” 2014. Thesis, University of Pennsylvania. Accessed September 22, 2019. https://repository.upenn.edu/edissertations/1311.

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

MLA Handbook (7th Edition):

He, Jiwei. “Causal Modeling Under Complex Dependency in Clustered and Longitudinal Observations.” 2014. Web. 22 Sep 2019.

Vancouver:

He J. Causal Modeling Under Complex Dependency in Clustered and Longitudinal Observations. [Internet] [Thesis]. University of Pennsylvania; 2014. [cited 2019 Sep 22]. Available from: https://repository.upenn.edu/edissertations/1311.

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

Council of Science Editors:

He J. Causal Modeling Under Complex Dependency in Clustered and Longitudinal Observations. [Thesis]. University of Pennsylvania; 2014. Available from: https://repository.upenn.edu/edissertations/1311

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


Arizona State University

27. Ward, Kimberly. Handling Sparse and Missing Data in Functional Data Analysis: A Functional Mixed-Effects Model Approach.

Degree: Psychology, 2016, Arizona State University

 This paper investigates a relatively new analysis method for longitudinal data in the framework of functional data analysis. This approach treats longitudinal data as so-called… (more)

Subjects/Keywords: Psychology; Functional Data Analysis; Longitudinal Data; Mixed Models

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APA (6th Edition):

Ward, K. (2016). Handling Sparse and Missing Data in Functional Data Analysis: A Functional Mixed-Effects Model Approach. (Masters Thesis). Arizona State University. Retrieved from http://repository.asu.edu/items/40749

Chicago Manual of Style (16th Edition):

Ward, Kimberly. “Handling Sparse and Missing Data in Functional Data Analysis: A Functional Mixed-Effects Model Approach.” 2016. Masters Thesis, Arizona State University. Accessed September 22, 2019. http://repository.asu.edu/items/40749.

MLA Handbook (7th Edition):

Ward, Kimberly. “Handling Sparse and Missing Data in Functional Data Analysis: A Functional Mixed-Effects Model Approach.” 2016. Web. 22 Sep 2019.

Vancouver:

Ward K. Handling Sparse and Missing Data in Functional Data Analysis: A Functional Mixed-Effects Model Approach. [Internet] [Masters thesis]. Arizona State University; 2016. [cited 2019 Sep 22]. Available from: http://repository.asu.edu/items/40749.

Council of Science Editors:

Ward K. Handling Sparse and Missing Data in Functional Data Analysis: A Functional Mixed-Effects Model Approach. [Masters Thesis]. Arizona State University; 2016. Available from: http://repository.asu.edu/items/40749


Arizona State University

28. Marcoulides, Katerina Marie. A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors.

Degree: Psychology, 2017, Arizona State University

 The process of combining data is one in which information from disjoint datasets sharing at least a number of common variables is merged. This process… (more)

Subjects/Keywords: Quantitative psychology; Bayesian Synthesis; Data Fusion; Data Integration; Longitudinal Growth Modeling

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APA (6th Edition):

Marcoulides, K. M. (2017). A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/44280

Chicago Manual of Style (16th Edition):

Marcoulides, Katerina Marie. “A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors.” 2017. Doctoral Dissertation, Arizona State University. Accessed September 22, 2019. http://repository.asu.edu/items/44280.

MLA Handbook (7th Edition):

Marcoulides, Katerina Marie. “A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors.” 2017. Web. 22 Sep 2019.

Vancouver:

Marcoulides KM. A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors. [Internet] [Doctoral dissertation]. Arizona State University; 2017. [cited 2019 Sep 22]. Available from: http://repository.asu.edu/items/44280.

Council of Science Editors:

Marcoulides KM. A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors. [Doctoral Dissertation]. Arizona State University; 2017. Available from: http://repository.asu.edu/items/44280


University of Guelph

29. Alattas, Ali. Bagging Classification Trees for Longitudinal Data .

Degree: 2019, University of Guelph

 Many studies handle binary longitudinal data by model-based classifiers, although their assumptions are often unsatisfied with real data. In contrast, tree-based classifiers are free of… (more)

Subjects/Keywords: Classification trees; Bagging; Longitudinal data; bootstrap; correlated data

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APA (6th Edition):

Alattas, A. (2019). Bagging Classification Trees for Longitudinal Data . (Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14764

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):

Alattas, Ali. “Bagging Classification Trees for Longitudinal Data .” 2019. Thesis, University of Guelph. Accessed September 22, 2019. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14764.

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

MLA Handbook (7th Edition):

Alattas, Ali. “Bagging Classification Trees for Longitudinal Data .” 2019. Web. 22 Sep 2019.

Vancouver:

Alattas A. Bagging Classification Trees for Longitudinal Data . [Internet] [Thesis]. University of Guelph; 2019. [cited 2019 Sep 22]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14764.

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

Council of Science Editors:

Alattas A. Bagging Classification Trees for Longitudinal Data . [Thesis]. University of Guelph; 2019. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14764

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


Virginia Commonwealth University

30. Lehman, Rebecca. The Generalized Monotone Incremental Forward Stagewise Method for Modeling Longitudinal, Clustered, and Overdispersed Count Data: Application Predicting Nuclear Bud and Micronuclei Frequencies.

Degree: PhD, Biostatistics, 2017, Virginia Commonwealth University

  With the influx of high-dimensional data there is an immediate need for statistical methods that are able to handle situations when the number of… (more)

Subjects/Keywords: high-dimensional; genomics; longitudinal; Biostatistics; Longitudinal Data Analysis and Time Series; Microarrays

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APA (6th Edition):

Lehman, R. (2017). The Generalized Monotone Incremental Forward Stagewise Method for Modeling Longitudinal, Clustered, and Overdispersed Count Data: Application Predicting Nuclear Bud and Micronuclei Frequencies. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/4957

Chicago Manual of Style (16th Edition):

Lehman, Rebecca. “The Generalized Monotone Incremental Forward Stagewise Method for Modeling Longitudinal, Clustered, and Overdispersed Count Data: Application Predicting Nuclear Bud and Micronuclei Frequencies.” 2017. Doctoral Dissertation, Virginia Commonwealth University. Accessed September 22, 2019. https://scholarscompass.vcu.edu/etd/4957.

MLA Handbook (7th Edition):

Lehman, Rebecca. “The Generalized Monotone Incremental Forward Stagewise Method for Modeling Longitudinal, Clustered, and Overdispersed Count Data: Application Predicting Nuclear Bud and Micronuclei Frequencies.” 2017. Web. 22 Sep 2019.

Vancouver:

Lehman R. The Generalized Monotone Incremental Forward Stagewise Method for Modeling Longitudinal, Clustered, and Overdispersed Count Data: Application Predicting Nuclear Bud and Micronuclei Frequencies. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2017. [cited 2019 Sep 22]. Available from: https://scholarscompass.vcu.edu/etd/4957.

Council of Science Editors:

Lehman R. The Generalized Monotone Incremental Forward Stagewise Method for Modeling Longitudinal, Clustered, and Overdispersed Count Data: Application Predicting Nuclear Bud and Micronuclei Frequencies. [Doctoral Dissertation]. Virginia Commonwealth University; 2017. Available from: https://scholarscompass.vcu.edu/etd/4957

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