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tang w applied categorical count data analysis 2ed 2023

Type:: E-books
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Uploaded On:: March 19, 2023, 12:49 p.m.
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Textbook in PDF format Developed from the authors’ graduate-level biostatistics course, Applied Categorical and Count Data Analysis, Second Edition explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. The authors have been teaching categorical data analysis courses at the University of Rochester and Tulane University for more than a decade. This book embodies their decade-long experience and insight in teaching and applying statistical models for categorical and count data. The authors describe the basic ideas underlying each concept, model, and approach to give readers a good grasp of the fundamentals of the methodology without relying on rigorous mathematical arguments.The second edition covers classic concepts and popular topics, such as contingency tables, logistic regression models, and Poisson regression models, along with modern areas that include models for zero-modified count outcomes, parametric and semiparametric longitudinal data analysis, reliability analysis, and methods for dealing with missing values. As in the first edition, R, SAS, SPSS, and Stata programming codes are provided for all the examples, enabling readers to immediately experiment with the data in the examples and even adapt or extend the codes to fit data from their own studies. Designed for a one-semester course for graduate and senior undergraduate students in biostatistics, this self-contained text is also suitable as a self-learning guide for biomedical and psychosocial researchers. It will help readers analyze data with discrete variables in a wide range of biomedical and psychosocial research fields. Introduction Contingency Tables Sets of Contingency Tables Regression Models for Binary Response Regression Models for Polytomous Responses Regression Models for Count Response Log-Linear Models for Contingency Tables Analyses of Discrete Survival Time Longitudinal and Clustered Data Analysis Evaluation of Instruments Analysis of Incomplete Data

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tang w applied categorical count data analysis 2ed 2023

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