Carefully designed for use by clinical and pharmaceutical researchers and scientists, Handbook of Regression Analysis and Modeling explores statistical methods that have been adapted into biological applications for the quickly evolving field of biostatistics. The author clearly delineates a six-step method for hypothesis testing using data that mi

chapter 1|24 pages

Basic Statistical Concepts

chapter 2|82 pages

Simple Linear Regression

chapter 4|52 pages

Multiple Linear Regression

chapter 7|36 pages

Polynomial Regression

chapter 8|64 pages

Special Topics in Multiple Regression

chapter 9|68 pages

Indicator (Dummy) Variable Regression

chapter 10|14 pages

Model Building and Model Selection

chapter 11|22 pages

Analysis of Covariance