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Multivariable analysis : a practical guide for clinicians and public health researchers Third Edition

Multivariable analysis : a practical guide for clinicians and public health researchers Third Edition (5회 대출)

자료유형
단행본
개인저자
Katz, Mitchell H., 1959- author.
서명 / 저자사항
Multivariable analysis : a practical guide for clinicians and public health researchers / Mitchell H. Katz, Department of Medicine, Epidemiology, and Biostatistics, University of California, USA.
판사항
Third Edition.
발행사항
Cambridge ;   New York :   Cambridge University Press,   2011.  
형태사항
xv, 233 pages : illustrations ; 26 cm.
ISBN
9780521760980 (hardback : alk. paper) 9780521141079 (paperback : alk. paper)
요약
"Now in its third edition, this highly successful text has been fully revised and updated with expanded sections on cutting-edge techniques including Poisson regression, negative binomial regression, multinomial logistic regression and proportional odds regression. As before, it focuses on easy-to-follow explanations of complicated multivariable techniques. It is the perfect introduction for all clinical researchers. It describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It focuses on the nuts and bolts of performing research, and prepares the reader to set up, perform and interpret multivariable models. Numerous tables, graphs and tips help to demystify the process of performing multivariable analysis. The text is illustrated with many up-to-date examples from the medical literature on how to use multivariable analysis in clinical practice and in research"--Provided by publisher.
서지주기
Includes bibliographical references and index.
일반주제명
Medicine -- Research -- Statistical methods. Multivariate analysis. Biometry. Medical statistics. Multivariate Analysis. Biometry -- methods.
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001 000045705216
005 20120514102423
008 101209s2011 enka b 001 0 eng
010 ▼a 2010052187
020 ▼a 9780521760980 (hardback : alk. paper)
020 ▼a 9780521141079 (paperback : alk. paper)
035 ▼a (KERIS)REF000016190892
040 ▼a DNLM/DLC ▼c DLC ▼e rda ▼d 211009
042 ▼a pcc
050 0 0 ▼a R853.S7 ▼b K38 2011
060 1 0 ▼a WA 950
082 0 0 ▼a 610.72 ▼2 22
084 ▼a 610.72 ▼2 DDCK
090 ▼a 610.72 ▼b K19m
100 1 ▼a Katz, Mitchell H., ▼d 1959- ▼e author.
245 1 0 ▼a Multivariable analysis : ▼b a practical guide for clinicians and public health researchers / ▼c Mitchell H. Katz, Department of Medicine, Epidemiology, and Biostatistics, University of California, USA.
250 ▼a Third Edition.
260 ▼a Cambridge ; ▼a New York : ▼b Cambridge University Press, ▼c 2011.
300 ▼a xv, 233 pages : ▼b illustrations ; ▼c 26 cm.
504 ▼a Includes bibliographical references and index.
520 ▼a "Now in its third edition, this highly successful text has been fully revised and updated with expanded sections on cutting-edge techniques including Poisson regression, negative binomial regression, multinomial logistic regression and proportional odds regression. As before, it focuses on easy-to-follow explanations of complicated multivariable techniques. It is the perfect introduction for all clinical researchers. It describes how to perform and interpret multivariable analysis, using plain language rather than complex derivations and mathematical formulae. It focuses on the nuts and bolts of performing research, and prepares the reader to set up, perform and interpret multivariable models. Numerous tables, graphs and tips help to demystify the process of performing multivariable analysis. The text is illustrated with many up-to-date examples from the medical literature on how to use multivariable analysis in clinical practice and in research"--Provided by publisher.
650 0 ▼a Medicine ▼x Research ▼x Statistical methods.
650 0 ▼a Multivariate analysis.
650 0 ▼a Biometry.
650 0 ▼a Medical statistics.
650 1 2 ▼a Multivariate Analysis.
650 2 2 ▼a Biometry ▼x methods.

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 의학도서관/자료실(3층)/ 청구기호 610.72 K19m 등록번호 131043451 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

목차

Preface; 1. Introduction; 2. Common uses of multivariable models; 3. Outcome variables in multivariable analysis; 4. Type of independent variables in multivariable analysis; 5. Assumptions of multiple linear regression, multiple logistic regression, and proportional hazards analysis; 6. Relationship of independent variables to one another; 7. Setting up a multivariable analysis; 8. Performing the analysis; 9. Interpreting the analysis; 10. Checking the assumptions of the analysis; 11. Propensity scores; 12. Correlated observations; 13. Validation of models; 14. Special topics; 15. Publishing your study; 16. Summary: steps for constructing a multivariable model; Index.


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