Applied Categorical and Count Data Analysis av Wan (Tulane University New Orleans LA) Tang, Hua (Tulane University) He, Xin M. (University of Californ

1019,-

Kjøp

<P>Developed from the authors'' graduate-level biostatistics course, <B>Applied Categorical and Count Data Analysis, Second Edition </B>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.</P><P>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 longitudina