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You searched for subject:(Hierarchical generalized linear models). Showing records 1 – 30 of 41900 total matches.

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Boston University

1. McIntosh, Avery Isaac. Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission.

Degree: PhD, Biostatistics, 2017, Boston University

 Understanding tuberculosis transmission is vital for efforts at interrupting the spread of disease. Household contact studies that follow persons sharing a household with a TB… (more)

Subjects/Keywords: Biostatistics; Bayesian mixed effects; Generalized linear model; Hierarchical models; Infection; Tuberculosis

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

APA (6th Edition):

McIntosh, A. I. (2017). Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/22451

Chicago Manual of Style (16th Edition):

McIntosh, Avery Isaac. “Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission.” 2017. Doctoral Dissertation, Boston University. Accessed June 05, 2020. http://hdl.handle.net/2144/22451.

MLA Handbook (7th Edition):

McIntosh, Avery Isaac. “Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission.” 2017. Web. 05 Jun 2020.

Vancouver:

McIntosh AI. Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. [Internet] [Doctoral dissertation]. Boston University; 2017. [cited 2020 Jun 05]. Available from: http://hdl.handle.net/2144/22451.

Council of Science Editors:

McIntosh AI. Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. [Doctoral Dissertation]. Boston University; 2017. Available from: http://hdl.handle.net/2144/22451


Virginia Commonwealth University

2. Carrico, Robert. Unbiased Estimation for the Contextual Effect of Duration of Adolescent Height Growth on Adulthood Obesity and Health Outcomes via Hierarchical Linear and Nonlinear Models.

Degree: PhD, Biostatistics, 2012, Virginia Commonwealth University

 This dissertation has multiple aims in studying hierarchical linear models in biomedical data analysis. In Chapter 1, the novel idea of studying the durations of… (more)

Subjects/Keywords: Hierarchical Linear Models; Hierarchical Generalized Linear Models; Contextual Effects; Adolescent Height Growth; Biostatistics; Physical Sciences and Mathematics; Statistics and Probability

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APA (6th Edition):

Carrico, R. (2012). Unbiased Estimation for the Contextual Effect of Duration of Adolescent Height Growth on Adulthood Obesity and Health Outcomes via Hierarchical Linear and Nonlinear Models. (Doctoral Dissertation). Virginia Commonwealth University. Retrieved from https://doi.org/10.25772/E1KK-7059 ; https://scholarscompass.vcu.edu/etd/2817

Chicago Manual of Style (16th Edition):

Carrico, Robert. “Unbiased Estimation for the Contextual Effect of Duration of Adolescent Height Growth on Adulthood Obesity and Health Outcomes via Hierarchical Linear and Nonlinear Models.” 2012. Doctoral Dissertation, Virginia Commonwealth University. Accessed June 05, 2020. https://doi.org/10.25772/E1KK-7059 ; https://scholarscompass.vcu.edu/etd/2817.

MLA Handbook (7th Edition):

Carrico, Robert. “Unbiased Estimation for the Contextual Effect of Duration of Adolescent Height Growth on Adulthood Obesity and Health Outcomes via Hierarchical Linear and Nonlinear Models.” 2012. Web. 05 Jun 2020.

Vancouver:

Carrico R. Unbiased Estimation for the Contextual Effect of Duration of Adolescent Height Growth on Adulthood Obesity and Health Outcomes via Hierarchical Linear and Nonlinear Models. [Internet] [Doctoral dissertation]. Virginia Commonwealth University; 2012. [cited 2020 Jun 05]. Available from: https://doi.org/10.25772/E1KK-7059 ; https://scholarscompass.vcu.edu/etd/2817.

Council of Science Editors:

Carrico R. Unbiased Estimation for the Contextual Effect of Duration of Adolescent Height Growth on Adulthood Obesity and Health Outcomes via Hierarchical Linear and Nonlinear Models. [Doctoral Dissertation]. Virginia Commonwealth University; 2012. Available from: https://doi.org/10.25772/E1KK-7059 ; https://scholarscompass.vcu.edu/etd/2817


University of Georgia

3. Sen, Sedat. Comparative analysis of common statistical models used for value-added assessment of school performance.

Degree: MA, Educational Psychology, 2010, University of Georgia

 The purpose of this study is to compare four popular value-added models used in measuring school effectiveness based on their distinguishing characteristics. The simple fixed… (more)

Subjects/Keywords: Hierarchical linear models

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APA (6th Edition):

Sen, S. (2010). Comparative analysis of common statistical models used for value-added assessment of school performance. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/sen_sedat_201008_ma

Chicago Manual of Style (16th Edition):

Sen, Sedat. “Comparative analysis of common statistical models used for value-added assessment of school performance.” 2010. Masters Thesis, University of Georgia. Accessed June 05, 2020. http://purl.galileo.usg.edu/uga_etd/sen_sedat_201008_ma.

MLA Handbook (7th Edition):

Sen, Sedat. “Comparative analysis of common statistical models used for value-added assessment of school performance.” 2010. Web. 05 Jun 2020.

Vancouver:

Sen S. Comparative analysis of common statistical models used for value-added assessment of school performance. [Internet] [Masters thesis]. University of Georgia; 2010. [cited 2020 Jun 05]. Available from: http://purl.galileo.usg.edu/uga_etd/sen_sedat_201008_ma.

Council of Science Editors:

Sen S. Comparative analysis of common statistical models used for value-added assessment of school performance. [Masters Thesis]. University of Georgia; 2010. Available from: http://purl.galileo.usg.edu/uga_etd/sen_sedat_201008_ma


University of Georgia

4. Wu, Hsin-Ping. Locally optimal designs for generalized linear models with a single-variable quadratic polynomial predictor.

Degree: PhD, Statistics, 2013, University of Georgia

 Finding optimal designs for generalized linear models is a challenging problem, especially when the predictor contains higher-order terms. This dissertation includes a review of literature… (more)

Subjects/Keywords: generalized linear models

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APA (6th Edition):

Wu, H. (2013). Locally optimal designs for generalized linear models with a single-variable quadratic polynomial predictor. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/wu_hsin-ping_201312_phd

Chicago Manual of Style (16th Edition):

Wu, Hsin-Ping. “Locally optimal designs for generalized linear models with a single-variable quadratic polynomial predictor.” 2013. Doctoral Dissertation, University of Georgia. Accessed June 05, 2020. http://purl.galileo.usg.edu/uga_etd/wu_hsin-ping_201312_phd.

MLA Handbook (7th Edition):

Wu, Hsin-Ping. “Locally optimal designs for generalized linear models with a single-variable quadratic polynomial predictor.” 2013. Web. 05 Jun 2020.

Vancouver:

Wu H. Locally optimal designs for generalized linear models with a single-variable quadratic polynomial predictor. [Internet] [Doctoral dissertation]. University of Georgia; 2013. [cited 2020 Jun 05]. Available from: http://purl.galileo.usg.edu/uga_etd/wu_hsin-ping_201312_phd.

Council of Science Editors:

Wu H. Locally optimal designs for generalized linear models with a single-variable quadratic polynomial predictor. [Doctoral Dissertation]. University of Georgia; 2013. Available from: http://purl.galileo.usg.edu/uga_etd/wu_hsin-ping_201312_phd

5. Rule, Michael Everett. Collective Neural Dynamics in Primate Motor Cortex.

Degree: PhD, Neuroscience, 2016, Brown University

 Understanding the neural dynamics of action selection, planning, and execution is necessary to treat motor system disorders. This task is complicated by the fact that… (more)

Subjects/Keywords: generalized linear models

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APA (6th Edition):

Rule, M. E. (2016). Collective Neural Dynamics in Primate Motor Cortex. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:674356/

Chicago Manual of Style (16th Edition):

Rule, Michael Everett. “Collective Neural Dynamics in Primate Motor Cortex.” 2016. Doctoral Dissertation, Brown University. Accessed June 05, 2020. https://repository.library.brown.edu/studio/item/bdr:674356/.

MLA Handbook (7th Edition):

Rule, Michael Everett. “Collective Neural Dynamics in Primate Motor Cortex.” 2016. Web. 05 Jun 2020.

Vancouver:

Rule ME. Collective Neural Dynamics in Primate Motor Cortex. [Internet] [Doctoral dissertation]. Brown University; 2016. [cited 2020 Jun 05]. Available from: https://repository.library.brown.edu/studio/item/bdr:674356/.

Council of Science Editors:

Rule ME. Collective Neural Dynamics in Primate Motor Cortex. [Doctoral Dissertation]. Brown University; 2016. Available from: https://repository.library.brown.edu/studio/item/bdr:674356/


Queensland University of Technology

6. Tran, Thu Trung. Bayesian model estimation and comparison for longitudinal categorical data.

Degree: 2008, Queensland University of Technology

 In this thesis, we address issues of model estimation for longitudinal categorical data and of model selection for these data with missing covariates. Longitudinal survey… (more)

Subjects/Keywords: longitudinal data analysis; generalized linear models; Bayesian hierarchical models; Bayesian model choice; Bayes factors; deviance information criterion; missing data

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APA (6th Edition):

Tran, T. T. (2008). Bayesian model estimation and comparison for longitudinal categorical data. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/19240/

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):

Tran, Thu Trung. “Bayesian model estimation and comparison for longitudinal categorical data.” 2008. Thesis, Queensland University of Technology. Accessed June 05, 2020. https://eprints.qut.edu.au/19240/.

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

MLA Handbook (7th Edition):

Tran, Thu Trung. “Bayesian model estimation and comparison for longitudinal categorical data.” 2008. Web. 05 Jun 2020.

Vancouver:

Tran TT. Bayesian model estimation and comparison for longitudinal categorical data. [Internet] [Thesis]. Queensland University of Technology; 2008. [cited 2020 Jun 05]. Available from: https://eprints.qut.edu.au/19240/.

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

Council of Science Editors:

Tran TT. Bayesian model estimation and comparison for longitudinal categorical data. [Thesis]. Queensland University of Technology; 2008. Available from: https://eprints.qut.edu.au/19240/

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

7. Kurusu, Ricardo Salles. Avaliação de técnicas de diagnóstico para a análise de dados com medidas repetidas.

Degree: Mestrado, Estatística, 2013, University of São Paulo

Dentre as possíveis propostas encontradas na literatura estatística para analisar dados oriundos de estudos com observações correlacionadas, estão os modelos condicionais e os modelos marginais.… (more)

Subjects/Keywords: conditional models; diagnostic techniques; equações de estimação generalizadas; generalized estimating equations; generalized linear mixed models; hierarchical generalized linear models; linear mixed models; marginal models; medidas repetidas; modelos condicionais; modelos lineares generalizados hierárquicos; modelos lineares generalizados mistos; modelos lineares mistos; modelos marginais; repeated measures; técnicas de diagnóstico

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APA (6th Edition):

Kurusu, R. S. (2013). Avaliação de técnicas de diagnóstico para a análise de dados com medidas repetidas. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-21062013-202727/ ;

Chicago Manual of Style (16th Edition):

Kurusu, Ricardo Salles. “Avaliação de técnicas de diagnóstico para a análise de dados com medidas repetidas.” 2013. Masters Thesis, University of São Paulo. Accessed June 05, 2020. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-21062013-202727/ ;.

MLA Handbook (7th Edition):

Kurusu, Ricardo Salles. “Avaliação de técnicas de diagnóstico para a análise de dados com medidas repetidas.” 2013. Web. 05 Jun 2020.

Vancouver:

Kurusu RS. Avaliação de técnicas de diagnóstico para a análise de dados com medidas repetidas. [Internet] [Masters thesis]. University of São Paulo; 2013. [cited 2020 Jun 05]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-21062013-202727/ ;.

Council of Science Editors:

Kurusu RS. Avaliação de técnicas de diagnóstico para a análise de dados com medidas repetidas. [Masters Thesis]. University of São Paulo; 2013. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-21062013-202727/ ;


Queen Mary, University of London

8. Hossain, Mohammad Zakir. A small-sample randomization-based approach to semi-parametric estimation and misspecification in generalized linear mixed models.

Degree: PhD, 2017, Queen Mary, University of London

 In a generalized linear mixed model (GLMM), the random effects are typically uncorrelated and assumed to follow a normal distribution. However, findings from recent studies… (more)

Subjects/Keywords: Mathematics; generalized linear mixed models

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APA (6th Edition):

Hossain, M. Z. (2017). A small-sample randomization-based approach to semi-parametric estimation and misspecification in generalized linear mixed models. (Doctoral Dissertation). Queen Mary, University of London. Retrieved from http://qmro.qmul.ac.uk/xmlui/handle/123456789/24641 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765878

Chicago Manual of Style (16th Edition):

Hossain, Mohammad Zakir. “A small-sample randomization-based approach to semi-parametric estimation and misspecification in generalized linear mixed models.” 2017. Doctoral Dissertation, Queen Mary, University of London. Accessed June 05, 2020. http://qmro.qmul.ac.uk/xmlui/handle/123456789/24641 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765878.

MLA Handbook (7th Edition):

Hossain, Mohammad Zakir. “A small-sample randomization-based approach to semi-parametric estimation and misspecification in generalized linear mixed models.” 2017. Web. 05 Jun 2020.

Vancouver:

Hossain MZ. A small-sample randomization-based approach to semi-parametric estimation and misspecification in generalized linear mixed models. [Internet] [Doctoral dissertation]. Queen Mary, University of London; 2017. [cited 2020 Jun 05]. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/24641 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765878.

Council of Science Editors:

Hossain MZ. A small-sample randomization-based approach to semi-parametric estimation and misspecification in generalized linear mixed models. [Doctoral Dissertation]. Queen Mary, University of London; 2017. Available from: http://qmro.qmul.ac.uk/xmlui/handle/123456789/24641 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.765878


Macquarie University

9. Puang-Ngern, Busayasachee. The estimation of semiparametric generalized linear models.

Degree: 2018, Macquarie University

Empirical thesis.

Bibliography: pages 137-141.

1. Introduction  – 2. Literature review  – 3. The semiparametric generalized linear model  – 4. The semiparametric generalized linear model… (more)

Subjects/Keywords: Generalized estimating equations; Linear models (Statistics); generalized linear models; semiparametric models

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APA (6th Edition):

Puang-Ngern, B. (2018). The estimation of semiparametric generalized linear models. (Doctoral Dissertation). Macquarie University. Retrieved from http://hdl.handle.net/1959.14/1271780

Chicago Manual of Style (16th Edition):

Puang-Ngern, Busayasachee. “The estimation of semiparametric generalized linear models.” 2018. Doctoral Dissertation, Macquarie University. Accessed June 05, 2020. http://hdl.handle.net/1959.14/1271780.

MLA Handbook (7th Edition):

Puang-Ngern, Busayasachee. “The estimation of semiparametric generalized linear models.” 2018. Web. 05 Jun 2020.

Vancouver:

Puang-Ngern B. The estimation of semiparametric generalized linear models. [Internet] [Doctoral dissertation]. Macquarie University; 2018. [cited 2020 Jun 05]. Available from: http://hdl.handle.net/1959.14/1271780.

Council of Science Editors:

Puang-Ngern B. The estimation of semiparametric generalized linear models. [Doctoral Dissertation]. Macquarie University; 2018. Available from: http://hdl.handle.net/1959.14/1271780


University of Manchester

10. Charalambous, Christiana. Variable selection in joint modelling of mean and variance for multilevel data.

Degree: PhD, 2011, University of Manchester

 We propose to extend the use of penalized likelihood based variable selection methods to hierarchical generalized linear models (HGLMs) for jointly modellingboth the mean and… (more)

Subjects/Keywords: 005.73; Variable Selection; SCAD; H-likelihood; Generalized Linear Mixed Models; Hierarchical Data; Joint Mean and Variance modelling

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APA (6th Edition):

Charalambous, C. (2011). Variable selection in joint modelling of mean and variance for multilevel data. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/variable-selection-in-joint-modelling-of-mean-and-variance-for-multilevel-data(cbe5eb08-1e77-4b44-b7df-17bd4bf4937f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558032

Chicago Manual of Style (16th Edition):

Charalambous, Christiana. “Variable selection in joint modelling of mean and variance for multilevel data.” 2011. Doctoral Dissertation, University of Manchester. Accessed June 05, 2020. https://www.research.manchester.ac.uk/portal/en/theses/variable-selection-in-joint-modelling-of-mean-and-variance-for-multilevel-data(cbe5eb08-1e77-4b44-b7df-17bd4bf4937f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558032.

MLA Handbook (7th Edition):

Charalambous, Christiana. “Variable selection in joint modelling of mean and variance for multilevel data.” 2011. Web. 05 Jun 2020.

Vancouver:

Charalambous C. Variable selection in joint modelling of mean and variance for multilevel data. [Internet] [Doctoral dissertation]. University of Manchester; 2011. [cited 2020 Jun 05]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/variable-selection-in-joint-modelling-of-mean-and-variance-for-multilevel-data(cbe5eb08-1e77-4b44-b7df-17bd4bf4937f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558032.

Council of Science Editors:

Charalambous C. Variable selection in joint modelling of mean and variance for multilevel data. [Doctoral Dissertation]. University of Manchester; 2011. Available from: https://www.research.manchester.ac.uk/portal/en/theses/variable-selection-in-joint-modelling-of-mean-and-variance-for-multilevel-data(cbe5eb08-1e77-4b44-b7df-17bd4bf4937f).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.558032

11. Nati, Lilian. Superdispersão em dados binomiais hierárquicos.

Degree: PhD, Estatística, 2008, University of São Paulo

Para analisar dados binários oriundos de uma estrutura hierárquica com dois níveis (por exemplo, aluno e escola), uma alternativa bastante utilizada é a suposição da… (more)

Subjects/Keywords: binomial data; dados binomiais; generalized linear mixed models; hierarchical models; modelos hierárquicos; modelos lineares generalizados mistos; modelos multiníveis; multilevel models; overdispersion; superdispersão

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APA (6th Edition):

Nati, L. (2008). Superdispersão em dados binomiais hierárquicos. (Doctoral Dissertation). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-19062008-132744/ ;

Chicago Manual of Style (16th Edition):

Nati, Lilian. “Superdispersão em dados binomiais hierárquicos.” 2008. Doctoral Dissertation, University of São Paulo. Accessed June 05, 2020. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-19062008-132744/ ;.

MLA Handbook (7th Edition):

Nati, Lilian. “Superdispersão em dados binomiais hierárquicos.” 2008. Web. 05 Jun 2020.

Vancouver:

Nati L. Superdispersão em dados binomiais hierárquicos. [Internet] [Doctoral dissertation]. University of São Paulo; 2008. [cited 2020 Jun 05]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-19062008-132744/ ;.

Council of Science Editors:

Nati L. Superdispersão em dados binomiais hierárquicos. [Doctoral Dissertation]. University of São Paulo; 2008. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-19062008-132744/ ;

12. Moyer, Eric. Examining the invariance of item and person parameters estimated from multilevel measurement models when distribution of person abilities are non-normal.

Degree: PhD, Educational Psychology, 2013, University of Texas – Austin

 Multilevel measurement models (MMM), an application of hierarchical generalized linear models (HGLM), model the relationship between ability levels estimates and item difficulty parameters, based on… (more)

Subjects/Keywords: Multilevel measurement models; Hierarchical generalized linear models; Psychometrics

…application of hierarchical generalized linear models (HGLM), and the development of the… …18 Hierarchical Linear Models… …18 Hierarchical Generalized Linear Model… …generalized linear models (HGLM) as a framework for MMM provides estimates for individual… …including a description of various hierarchical linear models (HLM), the formulation and… 

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APA (6th Edition):

Moyer, E. (2013). Examining the invariance of item and person parameters estimated from multilevel measurement models when distribution of person abilities are non-normal. (Doctoral Dissertation). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/21290

Chicago Manual of Style (16th Edition):

Moyer, Eric. “Examining the invariance of item and person parameters estimated from multilevel measurement models when distribution of person abilities are non-normal.” 2013. Doctoral Dissertation, University of Texas – Austin. Accessed June 05, 2020. http://hdl.handle.net/2152/21290.

MLA Handbook (7th Edition):

Moyer, Eric. “Examining the invariance of item and person parameters estimated from multilevel measurement models when distribution of person abilities are non-normal.” 2013. Web. 05 Jun 2020.

Vancouver:

Moyer E. Examining the invariance of item and person parameters estimated from multilevel measurement models when distribution of person abilities are non-normal. [Internet] [Doctoral dissertation]. University of Texas – Austin; 2013. [cited 2020 Jun 05]. Available from: http://hdl.handle.net/2152/21290.

Council of Science Editors:

Moyer E. Examining the invariance of item and person parameters estimated from multilevel measurement models when distribution of person abilities are non-normal. [Doctoral Dissertation]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/21290


University of Plymouth

13. Al-Kaabawi, Zainab A. A. Bayesian hierarchical models for linear networks.

Degree: PhD, 2018, University of Plymouth

 A motorway network is handled as a linear network. The purpose of this study is to highlight dangerous motorways via estimating the intensity of accidents… (more)

Subjects/Keywords: Hierarchical models; Bayesian methods; Linear networks

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APA (6th Edition):

Al-Kaabawi, Z. A. A. (2018). Bayesian hierarchical models for linear networks. (Doctoral Dissertation). University of Plymouth. Retrieved from http://hdl.handle.net/10026.1/12829

Chicago Manual of Style (16th Edition):

Al-Kaabawi, Zainab A A. “Bayesian hierarchical models for linear networks.” 2018. Doctoral Dissertation, University of Plymouth. Accessed June 05, 2020. http://hdl.handle.net/10026.1/12829.

MLA Handbook (7th Edition):

Al-Kaabawi, Zainab A A. “Bayesian hierarchical models for linear networks.” 2018. Web. 05 Jun 2020.

Vancouver:

Al-Kaabawi ZAA. Bayesian hierarchical models for linear networks. [Internet] [Doctoral dissertation]. University of Plymouth; 2018. [cited 2020 Jun 05]. Available from: http://hdl.handle.net/10026.1/12829.

Council of Science Editors:

Al-Kaabawi ZAA. Bayesian hierarchical models for linear networks. [Doctoral Dissertation]. University of Plymouth; 2018. Available from: http://hdl.handle.net/10026.1/12829


Georgia State University

14. Arce, Katherine. Predicting Client Housing Outcomes from Georgia's Homeless Management Information System with Hierarchical Generalized Linear Modeling.

Degree: MPH, Public Health, 2018, Georgia State University

  During a given night in the United States, approximately 553,742 people experience homelessness, and 1.4 million people stay in an emergency shelter or transitional… (more)

Subjects/Keywords: homelessness; housing outcomes; HMIS; hierarchical generalized linear modeling

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APA (6th Edition):

Arce, K. (2018). Predicting Client Housing Outcomes from Georgia's Homeless Management Information System with Hierarchical Generalized Linear Modeling. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/iph_theses/591

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):

Arce, Katherine. “Predicting Client Housing Outcomes from Georgia's Homeless Management Information System with Hierarchical Generalized Linear Modeling.” 2018. Thesis, Georgia State University. Accessed June 05, 2020. https://scholarworks.gsu.edu/iph_theses/591.

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

MLA Handbook (7th Edition):

Arce, Katherine. “Predicting Client Housing Outcomes from Georgia's Homeless Management Information System with Hierarchical Generalized Linear Modeling.” 2018. Web. 05 Jun 2020.

Vancouver:

Arce K. Predicting Client Housing Outcomes from Georgia's Homeless Management Information System with Hierarchical Generalized Linear Modeling. [Internet] [Thesis]. Georgia State University; 2018. [cited 2020 Jun 05]. Available from: https://scholarworks.gsu.edu/iph_theses/591.

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

Council of Science Editors:

Arce K. Predicting Client Housing Outcomes from Georgia's Homeless Management Information System with Hierarchical Generalized Linear Modeling. [Thesis]. Georgia State University; 2018. Available from: https://scholarworks.gsu.edu/iph_theses/591

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


University of Iowa

15. Ten Eyck, Patrick. Problems in generalized linear model selection and predictive evaluation for binary outcomes.

Degree: PhD, Biostatistics, 2015, University of Iowa

  This manuscript consists of three papers which formulate novel generalized linear model methodologies. In Chapter 1, we introduce a variant of the traditional concordance… (more)

Subjects/Keywords: Biostatistics; Generalized linear models; Model selection; Biostatistics

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APA (6th Edition):

Ten Eyck, P. (2015). Problems in generalized linear model selection and predictive evaluation for binary outcomes. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/6003

Chicago Manual of Style (16th Edition):

Ten Eyck, Patrick. “Problems in generalized linear model selection and predictive evaluation for binary outcomes.” 2015. Doctoral Dissertation, University of Iowa. Accessed June 05, 2020. https://ir.uiowa.edu/etd/6003.

MLA Handbook (7th Edition):

Ten Eyck, Patrick. “Problems in generalized linear model selection and predictive evaluation for binary outcomes.” 2015. Web. 05 Jun 2020.

Vancouver:

Ten Eyck P. Problems in generalized linear model selection and predictive evaluation for binary outcomes. [Internet] [Doctoral dissertation]. University of Iowa; 2015. [cited 2020 Jun 05]. Available from: https://ir.uiowa.edu/etd/6003.

Council of Science Editors:

Ten Eyck P. Problems in generalized linear model selection and predictive evaluation for binary outcomes. [Doctoral Dissertation]. University of Iowa; 2015. Available from: https://ir.uiowa.edu/etd/6003


McMaster University

16. Bai, Yu Qing. Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III.

Degree: MSc, 2011, McMaster University

Postpartum depression has become a major public health concern for women within a specific time period after delivery. Depression is possibly associated with some… (more)

Subjects/Keywords: The Ontario Mother and Infant Study; generalized estimating equations; generalized linear mixed effect model; hierarchical generalized linear model; Bayesian hierarchical model; Biostatistics; Longitudinal Data Analysis and Time Series; Biostatistics

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APA (6th Edition):

Bai, Y. Q. (2011). Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/11402

Chicago Manual of Style (16th Edition):

Bai, Yu Qing. “Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III.” 2011. Masters Thesis, McMaster University. Accessed June 05, 2020. http://hdl.handle.net/11375/11402.

MLA Handbook (7th Edition):

Bai, Yu Qing. “Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III.” 2011. Web. 05 Jun 2020.

Vancouver:

Bai YQ. Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III. [Internet] [Masters thesis]. McMaster University; 2011. [cited 2020 Jun 05]. Available from: http://hdl.handle.net/11375/11402.

Council of Science Editors:

Bai YQ. Longitudinal Analysis to Assess the Impact of Method of Delivery on Postpartum Outcomes: The Ontario Mother and Infant Study (TOMIS) III. [Masters Thesis]. McMaster University; 2011. Available from: http://hdl.handle.net/11375/11402


University of Rochester

17. Graves, Brian T. Multilevel Modeling of ARDS Mortality Predictors.

Degree: PhD, 2012, University of Rochester

 Background The Acute Respiratory Distress Syndrome (ARDS) is associated with acute and persistent lung inflammation. Incidence and mortality is high, extensive complex critical care is… (more)

Subjects/Keywords: ARDS; ALI; Acute Respiratory Distress Syndrome; Acute Lung Injury; Hierarchical Generalized Linear Modeling; HGLM

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APA (6th Edition):

Graves, B. T. (2012). Multilevel Modeling of ARDS Mortality Predictors. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/21350

Chicago Manual of Style (16th Edition):

Graves, Brian T. “Multilevel Modeling of ARDS Mortality Predictors.” 2012. Doctoral Dissertation, University of Rochester. Accessed June 05, 2020. http://hdl.handle.net/1802/21350.

MLA Handbook (7th Edition):

Graves, Brian T. “Multilevel Modeling of ARDS Mortality Predictors.” 2012. Web. 05 Jun 2020.

Vancouver:

Graves BT. Multilevel Modeling of ARDS Mortality Predictors. [Internet] [Doctoral dissertation]. University of Rochester; 2012. [cited 2020 Jun 05]. Available from: http://hdl.handle.net/1802/21350.

Council of Science Editors:

Graves BT. Multilevel Modeling of ARDS Mortality Predictors. [Doctoral Dissertation]. University of Rochester; 2012. Available from: http://hdl.handle.net/1802/21350


Virginia Tech

18. Mohd Kamalludeen, Rosemaliza. Curriculum Track And Its Influences On Predicting High School Dropout Likelihood.

Degree: PhD, Career and Technical Education, 2012, Virginia Tech

 Dropping out of school is a major concern as high school graduation credentials have been used as an important measurement tool to define post-secondary success.… (more)

Subjects/Keywords: high school; curriculum track; Dropout; career and technical education; hierarchical generalized linear modeling

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APA (6th Edition):

Mohd Kamalludeen, R. (2012). Curriculum Track And Its Influences On Predicting High School Dropout Likelihood. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28324

Chicago Manual of Style (16th Edition):

Mohd Kamalludeen, Rosemaliza. “Curriculum Track And Its Influences On Predicting High School Dropout Likelihood.” 2012. Doctoral Dissertation, Virginia Tech. Accessed June 05, 2020. http://hdl.handle.net/10919/28324.

MLA Handbook (7th Edition):

Mohd Kamalludeen, Rosemaliza. “Curriculum Track And Its Influences On Predicting High School Dropout Likelihood.” 2012. Web. 05 Jun 2020.

Vancouver:

Mohd Kamalludeen R. Curriculum Track And Its Influences On Predicting High School Dropout Likelihood. [Internet] [Doctoral dissertation]. Virginia Tech; 2012. [cited 2020 Jun 05]. Available from: http://hdl.handle.net/10919/28324.

Council of Science Editors:

Mohd Kamalludeen R. Curriculum Track And Its Influences On Predicting High School Dropout Likelihood. [Doctoral Dissertation]. Virginia Tech; 2012. Available from: http://hdl.handle.net/10919/28324


Arizona State University

19. Wang, Bei. Three Essays on Comparative Simulation in Three-level Hierarchical Data Structure.

Degree: Statistics, 2017, Arizona State University

 Though the likelihood is a useful tool for obtaining estimates of regression parameters, it is not readily available in the fit of hierarchical binary data… (more)

Subjects/Keywords: Statistics; Binary response; Bootstrapping; Generalized linear mixed model; Hierarchical data; Rresampling schemes; Small sample inferences

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APA (6th Edition):

Wang, B. (2017). Three Essays on Comparative Simulation in Three-level Hierarchical Data Structure. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/46248

Chicago Manual of Style (16th Edition):

Wang, Bei. “Three Essays on Comparative Simulation in Three-level Hierarchical Data Structure.” 2017. Doctoral Dissertation, Arizona State University. Accessed June 05, 2020. http://repository.asu.edu/items/46248.

MLA Handbook (7th Edition):

Wang, Bei. “Three Essays on Comparative Simulation in Three-level Hierarchical Data Structure.” 2017. Web. 05 Jun 2020.

Vancouver:

Wang B. Three Essays on Comparative Simulation in Three-level Hierarchical Data Structure. [Internet] [Doctoral dissertation]. Arizona State University; 2017. [cited 2020 Jun 05]. Available from: http://repository.asu.edu/items/46248.

Council of Science Editors:

Wang B. Three Essays on Comparative Simulation in Three-level Hierarchical Data Structure. [Doctoral Dissertation]. Arizona State University; 2017. Available from: http://repository.asu.edu/items/46248


University of Alberta

20. Nadeem, Khurram. ESTIMABILITY AND LIKELIHOOD INFERENCE FOR GENERAL HIERARCHICAL MODELS USING DATA CLONING.

Degree: PhD, Department of Mathematical and Statistical Sciences, 2013, University of Alberta

Hierarchical models constitute one of the most useful classes of statistical models with applications in a broad range of disciplines including, among others, social sciences,… (more)

Subjects/Keywords: Probability of Extinction; Generalized Linear Mixed Models; Population Viability Analysis; Nonlinear State-space Models; k-sample Problem; Random Effects; MCMC Convergence Diagnostics; Kolmogorov-Smirnov Test; Bayesian Computation; Empirical Characteristic Function; Maximum Likelihood Estimation; Profile Likelihood; Hierarchical Models; Model Identifiability and Estimability

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APA (6th Edition):

Nadeem, K. (2013). ESTIMABILITY AND LIKELIHOOD INFERENCE FOR GENERAL HIERARCHICAL MODELS USING DATA CLONING. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/3n203z40w

Chicago Manual of Style (16th Edition):

Nadeem, Khurram. “ESTIMABILITY AND LIKELIHOOD INFERENCE FOR GENERAL HIERARCHICAL MODELS USING DATA CLONING.” 2013. Doctoral Dissertation, University of Alberta. Accessed June 05, 2020. https://era.library.ualberta.ca/files/3n203z40w.

MLA Handbook (7th Edition):

Nadeem, Khurram. “ESTIMABILITY AND LIKELIHOOD INFERENCE FOR GENERAL HIERARCHICAL MODELS USING DATA CLONING.” 2013. Web. 05 Jun 2020.

Vancouver:

Nadeem K. ESTIMABILITY AND LIKELIHOOD INFERENCE FOR GENERAL HIERARCHICAL MODELS USING DATA CLONING. [Internet] [Doctoral dissertation]. University of Alberta; 2013. [cited 2020 Jun 05]. Available from: https://era.library.ualberta.ca/files/3n203z40w.

Council of Science Editors:

Nadeem K. ESTIMABILITY AND LIKELIHOOD INFERENCE FOR GENERAL HIERARCHICAL MODELS USING DATA CLONING. [Doctoral Dissertation]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/3n203z40w


Arizona State University

21. Krueger, Dana Cheree. Semiconductor Yield Modeling Using Generalized Linear Models.

Degree: PhD, Industrial Engineering, 2011, Arizona State University

 Yield is a key process performance characteristic in the capital-intensive semiconductor fabrication process. In an industry where machines cost millions of dollars and cycle times… (more)

Subjects/Keywords: Industrial Engineering; Statistics; Management; generalized linear mixed models; generalized linear models; process improvement; quality and reliability engineering; semiconductor; yield modeling

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APA (6th Edition):

Krueger, D. C. (2011). Semiconductor Yield Modeling Using Generalized Linear Models. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/8909

Chicago Manual of Style (16th Edition):

Krueger, Dana Cheree. “Semiconductor Yield Modeling Using Generalized Linear Models.” 2011. Doctoral Dissertation, Arizona State University. Accessed June 05, 2020. http://repository.asu.edu/items/8909.

MLA Handbook (7th Edition):

Krueger, Dana Cheree. “Semiconductor Yield Modeling Using Generalized Linear Models.” 2011. Web. 05 Jun 2020.

Vancouver:

Krueger DC. Semiconductor Yield Modeling Using Generalized Linear Models. [Internet] [Doctoral dissertation]. Arizona State University; 2011. [cited 2020 Jun 05]. Available from: http://repository.asu.edu/items/8909.

Council of Science Editors:

Krueger DC. Semiconductor Yield Modeling Using Generalized Linear Models. [Doctoral Dissertation]. Arizona State University; 2011. Available from: http://repository.asu.edu/items/8909


University of Rochester

22. Xia, Changming; Liang, Hua. Generalized Semiparametric Linear Mixed-effects Models.

Degree: PhD, 2015, University of Rochester

 This dissertation proposes a novel method to compare tumor growth patterns and evaluates treatment effects using semiparametric linear mixed-effects (SLME) model, which allows a flexible… (more)

Subjects/Keywords: Mixed-effects; Generalized Linear Models; Semiparametric Regression; Generalized Maximum Likelihood; Reproducing Kernel Hilbert Space

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APA (6th Edition):

Xia, Changming; Liang, H. (2015). Generalized Semiparametric Linear Mixed-effects Models. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/30126

Chicago Manual of Style (16th Edition):

Xia, Changming; Liang, Hua. “Generalized Semiparametric Linear Mixed-effects Models.” 2015. Doctoral Dissertation, University of Rochester. Accessed June 05, 2020. http://hdl.handle.net/1802/30126.

MLA Handbook (7th Edition):

Xia, Changming; Liang, Hua. “Generalized Semiparametric Linear Mixed-effects Models.” 2015. Web. 05 Jun 2020.

Vancouver:

Xia, Changming; Liang H. Generalized Semiparametric Linear Mixed-effects Models. [Internet] [Doctoral dissertation]. University of Rochester; 2015. [cited 2020 Jun 05]. Available from: http://hdl.handle.net/1802/30126.

Council of Science Editors:

Xia, Changming; Liang H. Generalized Semiparametric Linear Mixed-effects Models. [Doctoral Dissertation]. University of Rochester; 2015. Available from: http://hdl.handle.net/1802/30126

23. Mohanty, Peter Cushner. Ideology and interests : a hierarchical Bayesian approach to spatial party preferences.

Degree: MSin Statistics, Statistics, 2013, University of Texas – Austin

 This paper presents a spatial utility model of support for multiple political parties. The model includes a "valence" term, which I reparameterize to include both… (more)

Subjects/Keywords: Hierarchical models; Generalized linear models; Markov Chain Monte Carlo (MCMC); Public opinion; Political parties; European Union

…may be taken as evidence of sincere voting. BAYESIAN ANALYSIS OF HIERARCHICAL MODELS… …x28;Jackman, 2009, p. 22). In the case of hierarchical models, such as the one… …13 In general, hierarchical models are useful for representing complex causal processes… …this way, hierarchical models can account for causal heterogeneity (Jackman, 2009, p. 45… …be interpreted as a hierarchical model using (European Elections Study, 2013). I… 

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APA (6th Edition):

Mohanty, P. C. (2013). Ideology and interests : a hierarchical Bayesian approach to spatial party preferences. (Masters Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/22529

Chicago Manual of Style (16th Edition):

Mohanty, Peter Cushner. “Ideology and interests : a hierarchical Bayesian approach to spatial party preferences.” 2013. Masters Thesis, University of Texas – Austin. Accessed June 05, 2020. http://hdl.handle.net/2152/22529.

MLA Handbook (7th Edition):

Mohanty, Peter Cushner. “Ideology and interests : a hierarchical Bayesian approach to spatial party preferences.” 2013. Web. 05 Jun 2020.

Vancouver:

Mohanty PC. Ideology and interests : a hierarchical Bayesian approach to spatial party preferences. [Internet] [Masters thesis]. University of Texas – Austin; 2013. [cited 2020 Jun 05]. Available from: http://hdl.handle.net/2152/22529.

Council of Science Editors:

Mohanty PC. Ideology and interests : a hierarchical Bayesian approach to spatial party preferences. [Masters Thesis]. University of Texas – Austin; 2013. Available from: http://hdl.handle.net/2152/22529


University of Minnesota

24. Goel, Varun. Application of an active comparator-based benefit-risk Assessment in evaluating clinical trial design features of a new chemical entity using a Bayesian decision-theoretic framework.

Degree: PhD, Social, Administrative, and Clinical Pharmacy, 2010, University of Minnesota

 During the drug development process, drug candidates are screened for their efficacy and toxicity. Dose selection is a crucial part of drug development and specifying… (more)

Subjects/Keywords: Bayesian hierarchical models; Clinical Utility; Generalized non-linear models; Insomnia; Multi attribute decision theory; Pharmacometrics; Social, Administrative, and Clinical Pharmacy

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APA (6th Edition):

Goel, V. (2010). Application of an active comparator-based benefit-risk Assessment in evaluating clinical trial design features of a new chemical entity using a Bayesian decision-theoretic framework. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/93902

Chicago Manual of Style (16th Edition):

Goel, Varun. “Application of an active comparator-based benefit-risk Assessment in evaluating clinical trial design features of a new chemical entity using a Bayesian decision-theoretic framework.” 2010. Doctoral Dissertation, University of Minnesota. Accessed June 05, 2020. http://purl.umn.edu/93902.

MLA Handbook (7th Edition):

Goel, Varun. “Application of an active comparator-based benefit-risk Assessment in evaluating clinical trial design features of a new chemical entity using a Bayesian decision-theoretic framework.” 2010. Web. 05 Jun 2020.

Vancouver:

Goel V. Application of an active comparator-based benefit-risk Assessment in evaluating clinical trial design features of a new chemical entity using a Bayesian decision-theoretic framework. [Internet] [Doctoral dissertation]. University of Minnesota; 2010. [cited 2020 Jun 05]. Available from: http://purl.umn.edu/93902.

Council of Science Editors:

Goel V. Application of an active comparator-based benefit-risk Assessment in evaluating clinical trial design features of a new chemical entity using a Bayesian decision-theoretic framework. [Doctoral Dissertation]. University of Minnesota; 2010. Available from: http://purl.umn.edu/93902


University of North Texas

25. St. Clair, Suzanne W. Missing Data Treatments at the Second Level of Hierarchical Linear Models.

Degree: 2011, University of North Texas

 The current study evaluated the performance of traditional versus modern MDTs in the estimation of fixed-effects and variance components for data missing at the second… (more)

Subjects/Keywords: hierarchical linear models; missing data treatments; missing data

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APA (6th Edition):

St. Clair, S. W. (2011). Missing Data Treatments at the Second Level of Hierarchical Linear Models. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc84282/

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):

St. Clair, Suzanne W. “Missing Data Treatments at the Second Level of Hierarchical Linear Models.” 2011. Thesis, University of North Texas. Accessed June 05, 2020. https://digital.library.unt.edu/ark:/67531/metadc84282/.

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

MLA Handbook (7th Edition):

St. Clair, Suzanne W. “Missing Data Treatments at the Second Level of Hierarchical Linear Models.” 2011. Web. 05 Jun 2020.

Vancouver:

St. Clair SW. Missing Data Treatments at the Second Level of Hierarchical Linear Models. [Internet] [Thesis]. University of North Texas; 2011. [cited 2020 Jun 05]. Available from: https://digital.library.unt.edu/ark:/67531/metadc84282/.

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

Council of Science Editors:

St. Clair SW. Missing Data Treatments at the Second Level of Hierarchical Linear Models. [Thesis]. University of North Texas; 2011. Available from: https://digital.library.unt.edu/ark:/67531/metadc84282/

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


University of Minnesota

26. Medhanie, Amanuel Gebri. The robustness of multilevel multiple imputation for handling missing data in hierarchical linear models.

Degree: PhD, Educational Psychology, 2013, University of Minnesota

 Missing data often present problems for credible statistical analyses. Luckily there are valid methods for dealing with missing data but the context in which the… (more)

Subjects/Keywords: Hierarchical linear models; Missing data; Multilevel; Multiple imputation; Nested data; PAN

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APA (6th Edition):

Medhanie, A. G. (2013). The robustness of multilevel multiple imputation for handling missing data in hierarchical linear models. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/155986

Chicago Manual of Style (16th Edition):

Medhanie, Amanuel Gebri. “The robustness of multilevel multiple imputation for handling missing data in hierarchical linear models.” 2013. Doctoral Dissertation, University of Minnesota. Accessed June 05, 2020. http://purl.umn.edu/155986.

MLA Handbook (7th Edition):

Medhanie, Amanuel Gebri. “The robustness of multilevel multiple imputation for handling missing data in hierarchical linear models.” 2013. Web. 05 Jun 2020.

Vancouver:

Medhanie AG. The robustness of multilevel multiple imputation for handling missing data in hierarchical linear models. [Internet] [Doctoral dissertation]. University of Minnesota; 2013. [cited 2020 Jun 05]. Available from: http://purl.umn.edu/155986.

Council of Science Editors:

Medhanie AG. The robustness of multilevel multiple imputation for handling missing data in hierarchical linear models. [Doctoral Dissertation]. University of Minnesota; 2013. Available from: http://purl.umn.edu/155986


Texas A&M University

27. Parks, Kathrin Ann. A formula for low achievement: using multi-level models to understand the impact of individual level effects and school level effects on mathematics achievement.

Degree: 2004, Texas A&M University

 The following study utilizes data from the High School and Beyond Study in order to predict mathematics achievement using both student characteristics and school level… (more)

Subjects/Keywords: Mathematics Achievement; Hierarchical Linear Models

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APA (6th Edition):

Parks, K. A. (2004). A formula for low achievement: using multi-level models to understand the impact of individual level effects and school level effects on mathematics achievement. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/172

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):

Parks, Kathrin Ann. “A formula for low achievement: using multi-level models to understand the impact of individual level effects and school level effects on mathematics achievement.” 2004. Thesis, Texas A&M University. Accessed June 05, 2020. http://hdl.handle.net/1969.1/172.

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

MLA Handbook (7th Edition):

Parks, Kathrin Ann. “A formula for low achievement: using multi-level models to understand the impact of individual level effects and school level effects on mathematics achievement.” 2004. Web. 05 Jun 2020.

Vancouver:

Parks KA. A formula for low achievement: using multi-level models to understand the impact of individual level effects and school level effects on mathematics achievement. [Internet] [Thesis]. Texas A&M University; 2004. [cited 2020 Jun 05]. Available from: http://hdl.handle.net/1969.1/172.

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

Council of Science Editors:

Parks KA. A formula for low achievement: using multi-level models to understand the impact of individual level effects and school level effects on mathematics achievement. [Thesis]. Texas A&M University; 2004. Available from: http://hdl.handle.net/1969.1/172

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


Penn State University

28. Nunes, Marcus Alexandre. Analysis of RNA-Seq Data with Excess of Zeros.

Degree: PhD, Statistics, 2013, Penn State University

 Next-generation sequencing technologies are revolutionizing the analysis of genomics data. Also called massively parallel signature sequencing (MPSS), these methods generate large amounts of data by… (more)

Subjects/Keywords: generalized linear models; RNA-Seq; design of experiments; optimal

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APA (6th Edition):

Nunes, M. A. (2013). Analysis of RNA-Seq Data with Excess of Zeros. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/18932

Chicago Manual of Style (16th Edition):

Nunes, Marcus Alexandre. “Analysis of RNA-Seq Data with Excess of Zeros.” 2013. Doctoral Dissertation, Penn State University. Accessed June 05, 2020. https://etda.libraries.psu.edu/catalog/18932.

MLA Handbook (7th Edition):

Nunes, Marcus Alexandre. “Analysis of RNA-Seq Data with Excess of Zeros.” 2013. Web. 05 Jun 2020.

Vancouver:

Nunes MA. Analysis of RNA-Seq Data with Excess of Zeros. [Internet] [Doctoral dissertation]. Penn State University; 2013. [cited 2020 Jun 05]. Available from: https://etda.libraries.psu.edu/catalog/18932.

Council of Science Editors:

Nunes MA. Analysis of RNA-Seq Data with Excess of Zeros. [Doctoral Dissertation]. Penn State University; 2013. Available from: https://etda.libraries.psu.edu/catalog/18932


University of Newcastle

29. Rippon, Paul. Application of smooth tests of goodness of fit to generalized linear models.

Degree: PhD, 2013, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

Statistical models are an essential part of data analysis across many diverse fields. They are used to test… (more)

Subjects/Keywords: smooth testing; generalized linear models; goodness of fit

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APA (6th Edition):

Rippon, P. (2013). Application of smooth tests of goodness of fit to generalized linear models. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/937794

Chicago Manual of Style (16th Edition):

Rippon, Paul. “Application of smooth tests of goodness of fit to generalized linear models.” 2013. Doctoral Dissertation, University of Newcastle. Accessed June 05, 2020. http://hdl.handle.net/1959.13/937794.

MLA Handbook (7th Edition):

Rippon, Paul. “Application of smooth tests of goodness of fit to generalized linear models.” 2013. Web. 05 Jun 2020.

Vancouver:

Rippon P. Application of smooth tests of goodness of fit to generalized linear models. [Internet] [Doctoral dissertation]. University of Newcastle; 2013. [cited 2020 Jun 05]. Available from: http://hdl.handle.net/1959.13/937794.

Council of Science Editors:

Rippon P. Application of smooth tests of goodness of fit to generalized linear models. [Doctoral Dissertation]. University of Newcastle; 2013. Available from: http://hdl.handle.net/1959.13/937794

30. Milhorança, Igor André. Modelos paramétricos para séries temporais de contagem.

Degree: Mestrado, Estatística, 2014, University of São Paulo

Diversas situações práticas exigem a análise de series temporais de contagem, que podem apresentar tendência, sazonalidade e efeitos de variáveis explicativas. A motivação do nosso… (more)

Subjects/Keywords: GAMLSS; GAMLSS; GARMA; GARMA; generalized linear models; modelos lineares generalizados

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APA (6th Edition):

Milhorança, I. A. (2014). Modelos paramétricos para séries temporais de contagem. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45133/tde-07072014-195809/ ;

Chicago Manual of Style (16th Edition):

Milhorança, Igor André. “Modelos paramétricos para séries temporais de contagem.” 2014. Masters Thesis, University of São Paulo. Accessed June 05, 2020. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-07072014-195809/ ;.

MLA Handbook (7th Edition):

Milhorança, Igor André. “Modelos paramétricos para séries temporais de contagem.” 2014. Web. 05 Jun 2020.

Vancouver:

Milhorança IA. Modelos paramétricos para séries temporais de contagem. [Internet] [Masters thesis]. University of São Paulo; 2014. [cited 2020 Jun 05]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-07072014-195809/ ;.

Council of Science Editors:

Milhorança IA. Modelos paramétricos para séries temporais de contagem. [Masters Thesis]. University of São Paulo; 2014. Available from: http://www.teses.usp.br/teses/disponiveis/45/45133/tde-07072014-195809/ ;

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