Regression methods in biostatistics : linear, logistic, survival, and repeated measures models / Eric Vittinghoff [and others].
- 作者： Vittinghoff, Eric.
- 出版： New York : Springer 2012
- 叢書名： Statistics for biology and health
- 主題： Biometry. , Regression analysis.
- 版本：2nd ed.
- ISBN： 9781489998545 (pbk.) :: US$99.89 、 1489998543 (pbk.)
- 一般註：Includes bibliographical references (p. 489-500) and index.
-
讀者標籤：
- 系統號： 005222310 | 機讀編目格式
館藏資訊
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.