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
Addressing a variety of topics related to this advanced aspect of statistics, the Handbook of Regression and Modeling provides essential information for researchers, graduate students, and scientists who use regression analysis for biostatistics related to clinical and pharmaceutical research. This text includes exploratory data analysis to evaluate the fit of the model to the actual data. It presents a well-defined procedure for adding or subtracting independent variables to the model variables, with methods that rely on computer software. It also applies statistical forecasting methods when data are serially correlated. Additional material covers simple linear and multiple regressions.
