02192cam a2200337 i 450000100090000000300040000900500170001300800410003001000170007102000420008802000430013003500200017304000230019304200080021605000220022406000110024608200200025710000390027724502020031625000190051826000730053730000440061050400510065452009890070565000450169465000270173965000140176665000240178065000270180465000230183116578183OSt20150408114146.0101209s2011    enka     b    001 0 eng    a  2010052187  a9780521760980 (hardback : alk. paper)  a9780521141079 (paperback : alk. paper)  a(DNLM)101549392  aDNLM/DLCcDLCerda  apcc00aR853.S7bK38 201110aWA 95000a610.72222bKMM1 aKatz, Mitchell H.,d1959-eauthor.10aMultivariable analysis :ba practical guide for clinicians and public health researchers /cMitchell H. Katz, Department of Medicine, Epidemiology, and Biostatistics, University of California, USA.  aThird Edition.  aCambridge ;aNew York :bCambridge University Press,c2011, �2011.  axv, 233 pages :billustrations ;c26 cm  aIncludes bibliographical references and index.  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. 0aMedicinexResearchxStatistical methods. 0aMultivariate analysis. 0aBiometry. 0aMedical statistics.12aMultivariate Analysis.22aBiometryxmethods.