| Description |
1 online resource (xxiii, 166 pages) : illustrations |
| Series |
Emerging Topics in Statistics and Biostatistics , 2524-7743 |
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Emerging topics in statistics and biostatistics.
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| Contents |
Review of estimators for regression models -- Generalized estimating equation and generalized linear mixed models -- GMM marginal regression models for correlated data with grouped moments -- GMM regression models for correlated data with unit moments -- Partitioned GMM logistic regression models for longitudinal data -- Partitioned GMM for correlated data with Bayesian intervals -- Simultaneous modeling with time-dependent covariates and Bayesian intervals -- A two-part GMM model for impact and feedback for time-dependent covariates |
| Summary |
This monograph provides a concise point of research topics and reference for modeling correlated response data with time-dependent covariates, and longitudinal data for the analysis of population-averaged models, highlighting methods by a variety of pioneering scholars. While the models presented in the volume are applied to health and health-related data, they can be used to analyze any kind of data that contain covariates that change over time. The included data are analyzed with the use of both R and SAS, and the data and computing programs are provided to readers so that they can replicate and implement covered methods. It is an excellent resource for scholars of both computational and methodological statistics and biostatistics, particularly in the applied areas of health.-- Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Dr. Jeffrey Wilson is associate professor of statistics and biostatistics at Arizona State University, where he has served as director of the School of Health Management and Policy at the W. P. Carey School of Business, and as director and co-director of the biostatistics core at the NIH Center at Banner/Arizona Alzheimer's Consortium. Ms. Elsa Vazquez is a PhD candidate in statistics at Arizona State University. She holds a BS in applied mathematics from Juarez University of the State of Durango, and a MS in mathematics from Arizona State University. Dr. Ding-Geng Chen is a fellow of the American Statistical Association and the Wallace Kuralt distinguished professor at the University of North Carolina at Chapel Hill, as well as the South Africa DST-NRF-SAMRC, SARChI in Biostatistics (Tier 1) |
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Print version record |
| Subject |
Analysis of covariance.
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Marginal distributions.
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Mathematical models.
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Statistics.
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Medical sciences -- Mathematical models
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Medical sciences -- Statistical methods
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Longitudinal method.
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Models, Theoretical
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Longitudinal Studies
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mathematical models.
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statistics.
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Análisis de covarianza
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Ciencias médicas -- Modelos matemáticos
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Marginal distributions
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Analysis of covariance
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Longitudinal method
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Mathematical models
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Medical sciences -- Statistical methods
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Statistics
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| Genre/Form |
Electronic books
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| Form |
Electronic book
|
| Author |
Vazquez-Arreola, Elsa, author
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Chen, Ding-Geng, author.
|
| ISBN |
9783030489045 |
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3030489043 |
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