Chapman and Hall/CRC
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
Basic Statistical Concepts. Simple Linear Regression. Special Problems in Simple Linear Regression. Some Aspects and Examples in Constructing a Valid Simple Regression Study. Multiple Linear Regression. Correlation in Multiple Regression. Issues in Multiple Linear Regression. Polynomial Regression. Special Topics in Multiple Regression. Indicator (Dummy) Variable Regression. Model Building/Model Selection. Analysis of Covariance. Logistic Regression.