Multivariable analysis a practical guide for clinicians and public health researchers /

Multivariable analysis a practical guide for clinicians and public health researchers /

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"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...

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Bibliographic Details
Main Author: Katz, Mitchell H.
Corporate Author: ebrary, Inc
Format: Electronic eBook
Language:English
Published: Cambridge : Cambridge University Press, 2011.
Edition:3rd ed.
Subjects:
Medicine > Research > Statistical methods.
Multivariate analysis.
Biometry.
Medical statistics.
Electronic books.
Online Access:An electronic book accessible through the World Wide Web; click to view
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020 |z 9780521760980 (hardback : alk. paper) 
020 |z 9780521141079 (paperback : alk. paper) 
020 |z 9781139080194 (e-book) 
040 |a CaPaEBR  |c CaPaEBR 
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050 1 4 |a R853.S7  |b K38 2011eb 
082 0 4 |a 610.72  |2 22 
100 1 |a Katz, Mitchell H. 
245 1 0 |a Multivariable analysis  |h [electronic resource] :  |b a practical guide for clinicians and public health researchers /  |c Mitchell H. Katz. 
250 |a 3rd ed. 
260 |a Cambridge :  |b Cambridge University Press,  |c 2011. 
300 |a xv, 233 p. :  |b ill. 
504 |a Includes bibliographical references and index. 
505 0 |a 1. Introduction -- 2. Common uses of multivariable -- 3. Outcome variables in multivariable analysis -- 4. Independent variables in multivariable analysis -- 5. Relationship of independent variables to one another -- 6. Setting up a multivariable analysis -- 7. Performing the analysis -- 8. Interpreting the result -- 9. Delving deeper : checking the underlying assumptions of the analysis -- 10. Propensity scores -- 11. Correlated observations -- 12. Validation of models -- 13. Special topics -- 14. Publishing your study -- 15. Summary : steps for constructing a multivariable model. 
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. 
533 |a Electronic reproduction.  |b Palo Alto, Calif. :  |c ebrary,  |d 2011.  |n Available via World Wide Web.  |n Access may be limited to ebrary affiliated libraries. 
650 0 |a Medicine  |x Research  |x Statistical methods. 
650 0 |a Multivariate analysis. 
650 0 |a Biometry. 
650 0 |a Medical statistics. 
655 7 |a Electronic books.  |2 local 
710 2 |a ebrary, Inc. 
856 4 0 |u http://site.ebrary.com/lib/daystar/Doc?id=10470698  |z An electronic book accessible through the World Wide Web; click to view 
999 |c 196364  |d 196364 

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