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: 09/01/2011
Pages: 509
Binding Type: Hardcover
Weight: 2.05lbs
Size: 9.40h x 6.40w x 1.50d
ISBN13: 9781461413523
ISBN10: 1461413524
BISAC Categories:
- Medical | Biostatistics
- Medical | Epidemiology
- Medical | Public Health

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).

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