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

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 longitudinal and hierarchical outcomes, and generalized linear models for counts and other outcomes.

Author: Eric Vittinghoff,David V. Glidden,Stephen C. Shiboski
Publisher: Springer
Published: 04/13/2014
Pages: 509
Binding Type: Paperback
Weight: 1.62lbs
Size: 9.21h x 6.14w x 1.07d
ISBN: 9781489998545

About the Author
The authors are on the faculty in the Division of Biostatistics, Department of Epidemiology and Biostatistics, University of California, San Francisco, and are authors or co-authors of more than 200 methodological as well as applied papers in the biological and biomedical sciences. The senior author, Charles E. McCulloch, is head of the Division and author of Generalized Linear Mixed Models (2003), Generalized, Linear, and Mixed Models (2000), and Variance Components (1992).