Regression Methods in Biostatistics Linear, Logistic, Survival, and Repeated Measures Models /

• Main Authors: Vittinghoff, Eric (Author), Shiboski, Stephen C. (Author), Glidden, David V. (Author), McCulloch, Charles E. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2005.
• Series: Statistics for Biology and Health,
• Subjects: Mathematics.; Public health.; Epidemiology.; Probabilities.; Statistics.; Probability Theory and Stochastic Processes.; Statistics for Life Sciences, Medicine, Health Sciences.; Public Health.

This new book provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics: linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, repeated-measures models for long...

Table of Contents:

• Exploratory and Descriptive Methods
• Basic Statistical Methods
• Linear Regression
• Predictor Selection
• Logistic Regression
• Survival Analysis
• Repeated Measures and Longitudinal Data Analysis
• Generalized Linear Models
• Complex Surveys
• Summary.