Statistical modeling for biomedical researchers

a simple introduction to the analysis of complex data

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Last edited by MARC Bot
August 8, 2025 | History

Statistical modeling for biomedical researchers

a simple introduction to the analysis of complex data

"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.

Publish Date
Language
English
Pages
386

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Book Details


Edition Notes

Includes bibliographical references (p. 378-381) and index.

Published in
Cambridge, U.K, New York
Genre
Problems and Exercises.

Classifications

Library of Congress
R853.M3 D865 2002, R853.M3 D865 2002, R853

The Physical Object

Pagination
xvii, 386 p. :
Number of pages
386

Edition Identifiers

Open Library
OL18184033M
ISBN 10
0521820618, 0521655781
LCCN
2002073487
OCLC/WorldCat
49942324
LibraryThing
4751564
Goodreads
696845

Work Identifiers

Work ID
OL12344218W

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
August 8, 2025 Edited by MARC Bot import existing book
March 28, 2025 Edited by ImportBot Redacting ocaids
August 17, 2024 Edited by MARC Bot import existing book
January 14, 2023 Edited by ImportBot import existing book
October 11, 2008 Created by ImportBot Imported from Oregon Libraries MARC record