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Applied Categorical and Count Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) by Tang, Wan, He, Hua, Tu, Xin M. is a nonfiction available to read on EtoBox.

What is Applied Categorical and Count Data Analysis (Chapman & Hall/CRC Texts in Statistical Science) about?

Developed from the authors graduate-level biostatistics course, Applied Categorical and Count Data Analysis explains how to perform the statistical analysis of discrete data, including categorical and count outcomes. 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 using rigorous mathematical arguments. The text covers classic concepts and popular topics, such as contingency tables, logistic 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. 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

Who reads Applied Categorical and Count Data Analysis (Chapman & Hall/CRC Texts in Statistical Science)?

Author

Tang, Wan, He, Hua, Tu, Xin M.

Publisher

Chapman and Hall/CRC

Published

2012

Language

EN

ISBN

9781439806241

Category

nonfiction

Subjects

Mathematics, Stem