Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates

Released on by Jeffrey R. Wilson
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  • Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates Book Detail

  • Author : Jeffrey R. Wilson
  • Release Date : 2020-09-28
  • Publisher : Springer Nature
  • Genre : Medical
  • Pages : 182
  • ISBN 13 : 3030489043
  • File Size : 89,89 MB
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Marginal Models in Analysis of Correlated Binary Data with Time Dependent Covariates by Jeffrey R. Wilson PDF Summary

Book Description: 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. ​

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Statistical Regression Modeling with R

Statistical Regression Modeling with R

File Size : 84,84 MB
Total View : 6326 Views
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This book provides a concise point of reference for the most commonly used regression methods. It begins with linear and nonlinear regression for normally distr