Statistical modeling for biomedical researchers
Subtitle: a simple introduction to the analysis of complex data
By: William D. Dupont.
Publisher: Cambridge University Press
Published: 2002
Place of publication: Cambridge, U.K; New York
Language: eng
Number of pages: 386
Subjects: Medicine -- Research -- Statistical methods -- Mathematical models.; Biometry -- methods -- Problems and Exercises.; Models, Statistical -- Problems and Exercises.; Data Interpretation, Statistical -- Problems and Exercises.; Mathematical Computing -- Problems and Exercises.
Genres: Problems and Exercises.
Description: "This text will enable biomedical researchers to use a number of advanced statistical methods that have proven valuable in medical research. It is intended for people who have had an introductory course in biostatistics. A statistical software package (Stata) is used to avoid mathematics beyond the high school level. The emphasis is on understanding the assumptions underlying each method, using exploratory techniques to determine the most appropriate method, and presenting results in a way that will be readily understood by clinical colleagues. Graphical methods are used extensively. Topics covered include linear regression, logistic regression, Poisson regression, survival analysis, fixed-effects analysis of variance, and repeated-measures analysis of variance. Each method is introduced in its simplest form and is then extended to cover situations in which multiple explanatory variables are collected on each study subject."--BOOK JACKET.
Notes: Includes bibliographical references (p. 378-381) and index.