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Title: REGRESSION METHODS IN BIOSTATISTICS
LINEAR, LOGISTIC, SURVIVAL, AND REPEATED MEASURES MODELS
By: Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski
Format: Hardback

List price: £99.99
Our price: £84.99
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ISBN 10: 1461413524
ISBN 13: 9781461413523
Availability: Usually dispatched within 3-5 days.
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Publisher: SPRINGER-VERLAG NEW YORK INC.
Pub. date: 1 September, 2011
Edition: 2nd ed. 2012
Series: Statistics for Biology and Health
Pages: 512
Description: This fresh edition, substantially revised and augmented, provides a unified, in-depth, readable introduction to the multipredictor regression methods most widely used in biostatistics. The examples used, analyzed using Stata, can be applied to other areas.
Synopsis: 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.
Illustrations: 178 Tables, black and white; XX, 512 p.
Publication: US
Imprint: Springer-Verlag New York Inc.
Returns: Returnable
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