Regression Methods in Biostatistics
| Autor: | Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch |
|---|---|
| EAN: | 9780387272559 |
| eBook Format: | |
| Sprache: | Englisch |
| Produktart: | eBook |
| Veröffentlichungsdatum: | 30.03.2006 |
| Untertitel: | Linear, Logistic, Survival, and Repeated Measures Models |
| Kategorie: | |
| Schlagworte: | Generalized linear model Logistic Regression Regression analysis Stata Survival analysis Variance and interaction applied regression methods for biomedical research confounding data analysis g linear linear regression logistic mediation |
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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.
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