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Regression Methods in Biostatistics - Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, Charles E. McCulloch

Regression Methods in Biostatistics

Linear, Logistic, Survival, and Repeated Measures Models
Buch | Hardcover
360 Seiten
2005
Springer-Verlag New York Inc.
978-0-387-20275-4 (ISBN)
CHF 134,70 inkl. MwSt
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Offers an introduction to the multipredictor regression methods widely used in biostatistics. This book focuses on the many-shared elements in the methods presented for selecting, estimating, checking, and interpreting each of these models.
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.

Introduction.- Exploratory and Descriptive Methods.- Basic Statistical Methods.- Linear Regression.- Predictor Selection.- Logistic Regression.- Survival Analysis.- Repeated Measures Analysis.- Generalized Linear Models.- Complex Surveys.- Summary.

Erscheint lt. Verlag 3.7.2007
Reihe/Serie Statistics for Biology and Health
Zusatzinfo 1, black & white illustrations
Verlagsort New York, NY
Sprache englisch
Maße 156 x 234 mm
Gewicht 680 g
Einbandart gebunden
Themenwelt Mathematik / Informatik Mathematik Wahrscheinlichkeit / Kombinatorik
Studium Querschnittsbereiche Epidemiologie / Med. Biometrie
Naturwissenschaften Biologie
ISBN-10 0-387-20275-7 / 0387202757
ISBN-13 978-0-387-20275-4 / 9780387202754
Zustand Neuware
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