Vittinghoff / Glidden / Shiboski Regression Methods in Biostatistics

Linear, Logistic, Survival, and Repeated Measures Models
2005
ISBN: 978-0-387-27255-9
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 340 Seiten, eBook

Reihe: Statistics for Biology and Health

Here is a unified, readable introduction to multipredictor regression methods in biostatistics, including linear models for continuous outcomes, logistic models for binary outcomes, the Cox model for right-censored survival times, and generalized linear models for counts and other outcomes.

The authors describe shared elements in methods for selecting, estimating, checking, and interpreting each model, and show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.

Zielgruppe

Research

Autoren/Hrsg.

Vittinghoff, Eric

Glidden, David V.

Shiboski, Stephen C.

McCulloch, Charles E.

Inhaltsverzeichnis

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.