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You searched for subject:(Longitudinal data). Showing records 1 – 30 of 536 total matches.

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

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 April 21, 2021. 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. 21 Apr 2021.

Vancouver:

Dunsiger S. Analysis of Longitudinal Binary Data from Behavioral Medicine. [Internet] [Doctoral dissertation]. Brown University; 2009. [cited 2021 Apr 21]. 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/


University of California – Berkeley

2. 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 April 21, 2021. 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. 21 Apr 2021.

Vancouver:

Colborn KL. Statistical models for longitudinal analysis of single and mixed species infections. [Internet] [Thesis]. University of California – Berkeley; 2013. [cited 2021 Apr 21]. 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


Penn State University

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

Degree: 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 (6th Edition):

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

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):

Das, Kiranmoy. “SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA.” 2011. Thesis, Penn State University. Accessed April 21, 2021. https://submit-etda.libraries.psu.edu/catalog/12109.

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

MLA Handbook (7th Edition):

Das, Kiranmoy. “SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA.” 2011. Web. 21 Apr 2021.

Vancouver:

Das K. SEMI-PARAMETRIC BAYESIAN FUNCTIONAL MAPPING WITH IRREGULAR SPARSE LONGITUDINAL DATA. [Internet] [Thesis]. Penn State University; 2011. [cited 2021 Apr 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/12109.

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

Council of Science Editors:

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

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


Queensland University of Technology

4. 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 (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 April 21, 2021. 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. 21 Apr 2021.

Vancouver:

Rolfe MI. Bayesian models for longitudinal data. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2021 Apr 21]. 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

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

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 April 21, 2021. 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. 21 Apr 2021.

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 2021 Apr 21]. 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


Victoria University of Wellington

6. 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 April 21, 2021. http://hdl.handle.net/10063/1695.

MLA Handbook (7th Edition):

Li, Xiaomei. “Approaches to Modelling Heterogeneity in Longitudinal Studies.” 2011. Web. 21 Apr 2021.

Vancouver:

Li X. Approaches to Modelling Heterogeneity in Longitudinal Studies. [Internet] [Masters thesis]. Victoria University of Wellington; 2011. [cited 2021 Apr 21]. 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


Texas Tech University

7. Wang, Jing. Using linear mixed model to analyze the longitudinal data.

Degree: Statistics, 2007, Texas Tech University

 The purpose of this research is to analyze longitudinal data using linear mixed model with application to voltage-dependent motility and/ or stiffness changes of the… (more)

Subjects/Keywords: Longitudinal data

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APA (6th Edition):

Wang, J. (2007). Using linear mixed model to analyze the longitudinal data. (Thesis). Texas Tech University. Retrieved from http://hdl.handle.net/2346/10586

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, Jing. “Using linear mixed model to analyze the longitudinal data.” 2007. Thesis, Texas Tech University. Accessed April 21, 2021. http://hdl.handle.net/2346/10586.

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

MLA Handbook (7th Edition):

Wang, Jing. “Using linear mixed model to analyze the longitudinal data.” 2007. Web. 21 Apr 2021.

Vancouver:

Wang J. Using linear mixed model to analyze the longitudinal data. [Internet] [Thesis]. Texas Tech University; 2007. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/2346/10586.

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

Council of Science Editors:

Wang J. Using linear mixed model to analyze the longitudinal data. [Thesis]. Texas Tech University; 2007. Available from: http://hdl.handle.net/2346/10586

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


Duquesne University

8. 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 April 21, 2021. 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. 21 Apr 2021.

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 2021 Apr 21]. 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

9. 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. (Thesis). Vanderbilt University. Retrieved from http://hdl.handle.net/1803/13471

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):

VanHouten, Jacob Paul. “A Modified Random Forest Kernel for Highly Nonstationary Gaussian Process Regression with Application to Clinical Data.” 2016. Thesis, Vanderbilt University. Accessed April 21, 2021. http://hdl.handle.net/1803/13471.

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

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. 21 Apr 2021.

Vancouver:

VanHouten JP. A Modified Random Forest Kernel for Highly Nonstationary Gaussian Process Regression with Application to Clinical Data. [Internet] [Thesis]. Vanderbilt University; 2016. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1803/13471.

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

Council of Science Editors:

VanHouten JP. A Modified Random Forest Kernel for Highly Nonstationary Gaussian Process Regression with Application to Clinical Data. [Thesis]. Vanderbilt University; 2016. Available from: http://hdl.handle.net/1803/13471

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


University of Ottawa

10. 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 April 21, 2021. 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. 21 Apr 2021.

Vancouver:

Sehatkar M. Towards a Privacy Preserving Framework for Publishing Longitudinal Data . [Internet] [Thesis]. University of Ottawa; 2014. [cited 2021 Apr 21]. 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 North Texas Health Science Center

11. 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 April 21, 2021. 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. 21 Apr 2021.

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 2021 Apr 21]. 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


University of Manchester

12. 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 April 21, 2021. 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. 21 Apr 2021.

Vancouver:

Carter L. Rigorous methods for the analysis, reporting and evaluation of ESM style data. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2021 Apr 21]. 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


Cornell University

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

Degree: PhD, Veterinary Medicine, 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Smith, Rebecca. “Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis.” 2011. Doctoral Dissertation, Cornell University. Accessed April 21, 2021. http://hdl.handle.net/1813/30713.

MLA Handbook (7th Edition):

Smith, Rebecca. “Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis.” 2011. Web. 21 Apr 2021.

Vancouver:

Smith R. Statistical Modeling Of Longitudinal Data From Dairy Herds: Mycobacterium Avium Subsp. Paratuberculosis. [Internet] [Doctoral dissertation]. Cornell University; 2011. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1813/30713.

Council of Science Editors:

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


University of Bristol

14. Sandhu, Satpal S. Analysis of longitudinal jaw growth data to study sex differences in timing and intensity of the adolescent growth spurt for normal growth and skeletal discrepancies.

Degree: PhD, 2020, University of Bristol

 The upper jaw (maxilla) and the lower jaw (mandible) grow in a downward and forward direction resulting in normal skeletal jaw relationship (Class I) with… (more)

Subjects/Keywords: Growth Curve Model; Longitudinal data; Jaw growth

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APA (6th Edition):

Sandhu, S. S. (2020). Analysis of longitudinal jaw growth data to study sex differences in timing and intensity of the adolescent growth spurt for normal growth and skeletal discrepancies. (Doctoral Dissertation). University of Bristol. Retrieved from http://hdl.handle.net/1983/cc2b9148-3983-4a93-930d-f3f9c83a152a

Chicago Manual of Style (16th Edition):

Sandhu, Satpal S. “Analysis of longitudinal jaw growth data to study sex differences in timing and intensity of the adolescent growth spurt for normal growth and skeletal discrepancies.” 2020. Doctoral Dissertation, University of Bristol. Accessed April 21, 2021. http://hdl.handle.net/1983/cc2b9148-3983-4a93-930d-f3f9c83a152a.

MLA Handbook (7th Edition):

Sandhu, Satpal S. “Analysis of longitudinal jaw growth data to study sex differences in timing and intensity of the adolescent growth spurt for normal growth and skeletal discrepancies.” 2020. Web. 21 Apr 2021.

Vancouver:

Sandhu SS. Analysis of longitudinal jaw growth data to study sex differences in timing and intensity of the adolescent growth spurt for normal growth and skeletal discrepancies. [Internet] [Doctoral dissertation]. University of Bristol; 2020. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1983/cc2b9148-3983-4a93-930d-f3f9c83a152a.

Council of Science Editors:

Sandhu SS. Analysis of longitudinal jaw growth data to study sex differences in timing and intensity of the adolescent growth spurt for normal growth and skeletal discrepancies. [Doctoral Dissertation]. University of Bristol; 2020. Available from: http://hdl.handle.net/1983/cc2b9148-3983-4a93-930d-f3f9c83a152a


Texas A&M University

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

Degree: PhD, Statistics, 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. (Doctoral Dissertation). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/1565

Chicago Manual of Style (16th Edition):

Ju, Hyunsu. “Topics in analyzing longitudinal data.” 2005. Doctoral Dissertation, Texas A&M University. Accessed April 21, 2021. http://hdl.handle.net/1969.1/1565.

MLA Handbook (7th Edition):

Ju, Hyunsu. “Topics in analyzing longitudinal data.” 2005. Web. 21 Apr 2021.

Vancouver:

Ju H. Topics in analyzing longitudinal data. [Internet] [Doctoral dissertation]. Texas A&M University; 2005. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/1969.1/1565.

Council of Science Editors:

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


McMaster University

16. 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 April 21, 2021. http://hdl.handle.net/11375/16614.

MLA Handbook (7th Edition):

Liu, Kai. “Statistical Analysis of Longitudinal Data with a Case Study.” 2015. Web. 21 Apr 2021.

Vancouver:

Liu K. Statistical Analysis of Longitudinal Data with a Case Study. [Internet] [Masters thesis]. McMaster University; 2015. [cited 2021 Apr 21]. 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 Manchester

17. 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 April 21, 2021. 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. 21 Apr 2021.

Vancouver:

Carter L. Rigorous methods for the analysis, reporting and evaluation of ESM style data. [Internet] [Doctoral dissertation]. University of Manchester; 2016. [cited 2021 Apr 21]. 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


University of Edinburgh

18. 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 April 21, 2021. http://hdl.handle.net/1842/9556.

MLA Handbook (7th Edition):

Holm Hansen, Christian. “Analysis of routinely collected repeated patient outcomes.” 2014. Web. 21 Apr 2021.

Vancouver:

Holm Hansen C. Analysis of routinely collected repeated patient outcomes. [Internet] [Doctoral dissertation]. University of Edinburgh; 2014. [cited 2021 Apr 21]. 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 Washington

19. 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 April 21, 2021. 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. 21 Apr 2021.

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 2021 Apr 21]. 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 Illinois – Urbana-Champaign

20. Zhu, Xiaolu. Heterogeneity modeling and longitudinal clustering.

Degree: PhD, Statistics, 2017, University of Illinois – Urbana-Champaign

 Personalization has broad applications in many fields these days. Due to significant subject variations, it has become critical to incorporate subjects' heterogeneous characteristics in order… (more)

Subjects/Keywords: Clustering; Heterogeneity modeling; Longitudinal data; Subgrouping

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

APA (6th Edition):

Zhu, X. (2017). Heterogeneity modeling and longitudinal clustering. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/98160

Chicago Manual of Style (16th Edition):

Zhu, Xiaolu. “Heterogeneity modeling and longitudinal clustering.” 2017. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed April 21, 2021. http://hdl.handle.net/2142/98160.

MLA Handbook (7th Edition):

Zhu, Xiaolu. “Heterogeneity modeling and longitudinal clustering.” 2017. Web. 21 Apr 2021.

Vancouver:

Zhu X. Heterogeneity modeling and longitudinal clustering. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2017. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/2142/98160.

Council of Science Editors:

Zhu X. Heterogeneity modeling and longitudinal clustering. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/98160


University of Bristol

21. Sandhu, Satpal S. Analysis of longitudinal jaw growth data to study sex differences in timing and intensity of the adolescent growth spurt for normal growth and skeletal discrepancies.

Degree: PhD, 2020, University of Bristol

 The upper jaw (maxilla) and the lower jaw (mandible) grow in a downward and forward direction resulting in normal skeletal jaw relationship (Class I) with… (more)

Subjects/Keywords: Growth Curve Model; Longitudinal data; Jaw growth

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

APA (6th Edition):

Sandhu, S. S. (2020). Analysis of longitudinal jaw growth data to study sex differences in timing and intensity of the adolescent growth spurt for normal growth and skeletal discrepancies. (Doctoral Dissertation). University of Bristol. Retrieved from https://research-information.bris.ac.uk/en/studentTheses/cc2b9148-3983-4a93-930d-f3f9c83a152a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.801634

Chicago Manual of Style (16th Edition):

Sandhu, Satpal S. “Analysis of longitudinal jaw growth data to study sex differences in timing and intensity of the adolescent growth spurt for normal growth and skeletal discrepancies.” 2020. Doctoral Dissertation, University of Bristol. Accessed April 21, 2021. https://research-information.bris.ac.uk/en/studentTheses/cc2b9148-3983-4a93-930d-f3f9c83a152a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.801634.

MLA Handbook (7th Edition):

Sandhu, Satpal S. “Analysis of longitudinal jaw growth data to study sex differences in timing and intensity of the adolescent growth spurt for normal growth and skeletal discrepancies.” 2020. Web. 21 Apr 2021.

Vancouver:

Sandhu SS. Analysis of longitudinal jaw growth data to study sex differences in timing and intensity of the adolescent growth spurt for normal growth and skeletal discrepancies. [Internet] [Doctoral dissertation]. University of Bristol; 2020. [cited 2021 Apr 21]. Available from: https://research-information.bris.ac.uk/en/studentTheses/cc2b9148-3983-4a93-930d-f3f9c83a152a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.801634.

Council of Science Editors:

Sandhu SS. Analysis of longitudinal jaw growth data to study sex differences in timing and intensity of the adolescent growth spurt for normal growth and skeletal discrepancies. [Doctoral Dissertation]. University of Bristol; 2020. Available from: https://research-information.bris.ac.uk/en/studentTheses/cc2b9148-3983-4a93-930d-f3f9c83a152a ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.801634


Virginia Tech

22. Klopfer, Michelle Davis. Academic Profiles of Science Students: An Analysis of Longitudinal Data on Virginia Students.

Degree: PhD, Curriculum and Instruction, 2020, Virginia Tech

 In recent decades, United States public school education has moved toward standards-based curricula. However, performance on standardized tests may not represent subject knowledge or job… (more)

Subjects/Keywords: science education; STEM; longitudinal data; standards; assessment

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

APA (6th Edition):

Klopfer, M. D. (2020). Academic Profiles of Science Students: An Analysis of Longitudinal Data on Virginia Students. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/97401

Chicago Manual of Style (16th Edition):

Klopfer, Michelle Davis. “Academic Profiles of Science Students: An Analysis of Longitudinal Data on Virginia Students.” 2020. Doctoral Dissertation, Virginia Tech. Accessed April 21, 2021. http://hdl.handle.net/10919/97401.

MLA Handbook (7th Edition):

Klopfer, Michelle Davis. “Academic Profiles of Science Students: An Analysis of Longitudinal Data on Virginia Students.” 2020. Web. 21 Apr 2021.

Vancouver:

Klopfer MD. Academic Profiles of Science Students: An Analysis of Longitudinal Data on Virginia Students. [Internet] [Doctoral dissertation]. Virginia Tech; 2020. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/10919/97401.

Council of Science Editors:

Klopfer MD. Academic Profiles of Science Students: An Analysis of Longitudinal Data on Virginia Students. [Doctoral Dissertation]. Virginia Tech; 2020. Available from: http://hdl.handle.net/10919/97401


Virginia Tech

23. Zhang, Yafei. Variable screening and graphical modeling for ultra-high dimensional longitudinal data.

Degree: PhD, Statistics, 2019, Virginia Tech

 Ultrahigh-dimensional variable selection is of great importance in the statistical research. And independence screening is a powerful tool to select important variable when there are… (more)

Subjects/Keywords: graphical model; variable screening; longitudinal data analysis

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

APA (6th Edition):

Zhang, Y. (2019). Variable screening and graphical modeling for ultra-high dimensional longitudinal data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/101662

Chicago Manual of Style (16th Edition):

Zhang, Yafei. “Variable screening and graphical modeling for ultra-high dimensional longitudinal data.” 2019. Doctoral Dissertation, Virginia Tech. Accessed April 21, 2021. http://hdl.handle.net/10919/101662.

MLA Handbook (7th Edition):

Zhang, Yafei. “Variable screening and graphical modeling for ultra-high dimensional longitudinal data.” 2019. Web. 21 Apr 2021.

Vancouver:

Zhang Y. Variable screening and graphical modeling for ultra-high dimensional longitudinal data. [Internet] [Doctoral dissertation]. Virginia Tech; 2019. [cited 2021 Apr 21]. Available from: http://hdl.handle.net/10919/101662.

Council of Science Editors:

Zhang Y. Variable screening and graphical modeling for ultra-high dimensional longitudinal data. [Doctoral Dissertation]. Virginia Tech; 2019. Available from: http://hdl.handle.net/10919/101662


University of Alberta

24. 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 April 21, 2021. 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. 21 Apr 2021.

Vancouver:

Luo D. Models for Univariate and Multivariate Analysis of Longitudinal and Clustered Data. [Internet] [Doctoral dissertation]. University of Alberta; 2012. [cited 2021 Apr 21]. 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


Penn State University

25. Ji, Linying. Handling Missing Data in the Modeling of Intensive Longitudinal Data.

Degree: 2016, Penn State University

 The availability of intensive longitudinal data has helped spur the use more sophisticated methods for studying change. Unfortunately, missing data issues also arise frequently in… (more)

Subjects/Keywords: intensive longitudinal data; missing data; multiple imputation; full-information maximum likelihood

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APA (6th Edition):

Ji, L. (2016). Handling Missing Data in the Modeling of Intensive Longitudinal Data. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/28928

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):

Ji, Linying. “Handling Missing Data in the Modeling of Intensive Longitudinal Data.” 2016. Thesis, Penn State University. Accessed April 21, 2021. https://submit-etda.libraries.psu.edu/catalog/28928.

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

MLA Handbook (7th Edition):

Ji, Linying. “Handling Missing Data in the Modeling of Intensive Longitudinal Data.” 2016. Web. 21 Apr 2021.

Vancouver:

Ji L. Handling Missing Data in the Modeling of Intensive Longitudinal Data. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Apr 21]. Available from: https://submit-etda.libraries.psu.edu/catalog/28928.

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

Council of Science Editors:

Ji L. Handling Missing Data in the Modeling of Intensive Longitudinal Data. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/28928

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


University of KwaZulu-Natal

26. 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 April 21, 2021. 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. 21 Apr 2021.

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 2021 Apr 21]. 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


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

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 April 21, 2021. 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. 21 Apr 2021.

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 2021 Apr 21]. 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


University of Guelph

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

Degree: Master of Applied Science, Department of Mathematics and Statistics, 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. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14764

Chicago Manual of Style (16th Edition):

Alattas, Ali. “Bagging Classification Trees for Longitudinal Data.” 2019. Masters Thesis, University of Guelph. Accessed April 21, 2021. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14764.

MLA Handbook (7th Edition):

Alattas, Ali. “Bagging Classification Trees for Longitudinal Data.” 2019. Web. 21 Apr 2021.

Vancouver:

Alattas A. Bagging Classification Trees for Longitudinal Data. [Internet] [Masters thesis]. University of Guelph; 2019. [cited 2021 Apr 21]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/14764.

Council of Science Editors:

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


University of Pennsylvania

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

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 April 21, 2021. 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. 21 Apr 2021.

Vancouver:

He J. Causal Modeling Under Complex Dependency in Clustered and Longitudinal Observations. [Internet] [Thesis]. University of Pennsylvania; 2014. [cited 2021 Apr 21]. 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

30. 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 April 21, 2021. 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. 21 Apr 2021.

Vancouver:

Marcoulides KM. A Bayesian Synthesis Approach to Data Fusion Using Augmented Data-Dependent Priors. [Internet] [Doctoral dissertation]. Arizona State University; 2017. [cited 2021 Apr 21]. 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

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