Regression Methods in Biostatistics

by Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski

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 more.

Genres: Textbooks

345 pages, Kindle Edition

First published January 1, 2005

Reviews

[Nmoversae Company · Rating 5 out of 5]

I enjoyed reading this book
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[Chad · Rating 2 out of 5]

I read it for my biostatistics course. Not wildly impressed. Not a fan of Stata on which most of the coding information is based. Did present concepts in a fairly simple fashion, but not the friendliest text for non-stats majors. Maybe I'm asking for too much here. I mean, it's a textbook.

[Alina Cameron · Rating 5 out of 5]

Since studying this work I reference it quite frequently in my work.