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010 z| 2010052187;

020 z| 9780521760980 (hardback : alk. paper);

020 z| 9780521141079 (paperback : alk. paper);

020 z| 9781139080194 (e-book);

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100 1 a| Katz, Mitchell H.;

245 10 a| Multivariable analysis :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 pages :b| illustrations;

336 a| textb| txt2| rdacontent;

337 a| computerb| c2| rdamedia;

338 a| online resourceb| cr2| rdacarrier;

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. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.;

650 0 a| Medicinex| Researchx| Statistical methods.;

650 0 a| Multivariate analysis.;

650 0 a| Biometry.;

650 0 a| Medical statistics.;

655 4 a| Electronic books.;

710 2 a| ProQuest (Firm);

856 40 u| https://ebookcentral.proquest.com/lib/eastcarolina/detail.action?docID=691902z| Click to View;

949 a| Click on web addressw| asish| joyner96o| jjlm;

949 a| Click on web addressw| asish| hsl102o| jjlm;

096 a| WA 950 K19m 2011;

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998 a| 2507175;

096 a| WA 950 K19m 2011;

999 a| CLICK ON WEB ADDRESSw| ASISc| 1i| 2507175-2001l| JNETm| JOYNERr| Ys| Yt| JNE3BKu| 6/27/2011x| EBOOKz| JERESOURCEo| .STAFF. hgmb;

Multivariable analysis : a practical guide for clinicians and public health researchers / Mitchell H. Katz.

Author/creator	Katz, Mitchell H.
Other author	ProQuest (Firm)
Format	Electronic
Edition	3rd ed.
Publication Info	Cambridge : Cambridge University Press, 2011.
Description	xv, 233 pages : illustrations
Supplemental Content	Click to View
Subjects	Medicine--Research. --Statistical methods. Multivariate analysis. Biometry. Medical statistics.

Contents	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.
Abstract	"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.
Local note	Laupus-WCP
Bibliography note	Includes bibliographical references and index.
Reproduction note	Electronic reproduction. Ann Arbor, MI : ProQuest, 2015. Available via World Wide Web. Access may be limited to ProQuest affiliated libraries.
Genre/form	Electronic books.
LCCN	2010052187

Multivariable analysis : a practical guide for clinicians and public health researchers / Mitchell H. Katz.

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