Author: Eric Vittinghoff
Edition: 2nd ed. 2012
Binding: Hardcover
ISBN: 1461413524
Edition: 2nd ed. 2012
Binding: Hardcover
ISBN: 1461413524
Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)
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.
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.
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
Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models
Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models: Charles E. Mcculloch, David Glidden, Eric Vittinghoff, Steve Shiboski
author charles e mcculloch author david v glidden author eric vittinghoff author stephen c shiboski format hardback language english publication year 03 07 2007 series statistics for biology and health subject mathematics sciences subject 2 mathematics title regression methods in biostatistics linear logistic survival and repeated measures models author vittinghoff eric editor glidden david v shiboski stephen c mcculloch charles e publisher springer verlag publication date dec 30 2004 pages 340
Regression Methods In Biostatistics Linear, Logistic, Survival, And Repeated Measures Models, ISBN-13: 9780387202754, ISBN-10: 0387202757
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Treating these topics together takes advantage of all they have in common
They also show that these regression methods deal with confounding, mediation, and interaction of causal effects in essentially
