Description: Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models, Hardcover by Vittinghoff, Eric; Glidden, David V.; Shiboski, Stephen C.; McCulloch, Charles E., ISBN 1461413524, ISBN-13 9781461413523, Used Good Condition, Free shipping in the US
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 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 these regression methods deal with confounding, mediation, and interaction of causal effects in essentially the same way.
The examples, analyzed using Stata, are drawn from the biomedical context but generalize to other areas of application. While a first course in statistics is assumed, a chapter reviewing basic statistical methods is included. Some advanced topics are covered but the presentation remains intuitive. A brief introduction to regression analysis of complex surveys and notes for further reading are provided.
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Book Title: Regression Methods in Biostatistics : Linear, Logistic, Survival,
Number of Pages: Xx, 509 Pages
Publication Name: Regression Methods in Biostatistics : Linear, Logistic, Survival, and Repeated Measures Models
Language: English
Publisher: Springer New York
Publication Year: 2011
Subject: Biostatistics, Public Health, Probability & Statistics / Regression Analysis, Research, Life Sciences / Biology, Epidemiology
Item Height: 0.4 in
Type: Textbook
Item Weight: 33.8 Oz
Author: Eric Vittinghoff, Stephen C. Shiboski, Charles E. Mcculloch, David V. Glidden
Item Length: 9.3 in
Subject Area: Mathematics, Science, Medical
Item Width: 6.1 in
Series: Statistics for Biology and Health Ser.
Format: Hardcover
