Regression Methods in Biostatistics
Linear, Logistic, Survival, and Repeated Measures Models
This new edition 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. Treating these topics together takes advantage of all they have in common. The authors point out the many-shared elements in the methods they present for selecting, estimating, checking, and interpreting each of these models. They also show that thes…
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Produktdetails
Weitere Autoren: Glidden, David V. / Shiboski, Stephen C. / McCulloch, Charles E.
- ISBN: 978-1-4614-1353-0
- EAN: 9781461413530
- Produktnummer: 16277977
- Verlag: Springer-Verlag GmbH
- Sprache: Englisch
- Erscheinungsjahr: 2012
- Seitenangabe: 512 S.
- Plattform: PDF
- Masse: 7'338 KB
- Auflage: 2nd ed. 2012
- Abbildungen: 178 schwarz-weiße Tabellen, Bibliographie
Über den Autor
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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