MARC Record from marc_columbia

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001 15116931
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008 161202t20152015flu ob 001 0 eng d
035 $a(OCoLC)ocn966929599
035 $a(NNC)15116931
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020 $a9781498709583$q(electronic bk.)
020 $a1498709583$q(electronic bk.)
020 $a9781138469433
020 $a1138469432
020 $a9781498709576
020 $a1498709575
020 $a9780429174469$q(e-book ;$qPDF)
020 $a0429174462
024 7 $a10.1201/b18678$2doi
035 $a(OCoLC)966929599$z(OCoLC)964295190$z(OCoLC)964412178$z(OCoLC)964530610$z(OCoLC)990316876$z(OCoLC)995480604$z(OCoLC)1010741141$z(OCoLC)1048770732$z(OCoLC)1071875306$z(OCoLC)1082188795$z(OCoLC)1110588326
037 $a1004939$bMIL
050 4 $aQA278.2$b.H534 2016
072 7 $aMAT$x003000$2bisacsh
072 7 $aMAT$x029000$2bisacsh
082 04 $a519.5/36$223
049 $aZCUA
100 1 $aHilbe, Joseph M.,$d1944-$eauthor.
245 10 $aPractical guide to logistic regression /$cJoseph M. Hilbe, Jet Propulsion Laboratory, California Institute of Technology, USA and Arizona State University, USA.
264 1 $aBoca Raton :$bCRC Press/Taylor & Francis,$c[2015]
264 4 $c©2015
300 $a1 online resource (xv, 158 pages .)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
500 $a"A CRC title."
504 $aIncludes bibliographical references and index.
505 0 $aStatistical models -- Logistic models: single predictor -- Logistic models: multiple predictors -- Testing and fitting a logistic model -- Grouped logistic regression -- Bayesian logistic regression.
588 0 $aPrint version record.
520 $a"Practical Guide to Logistic Regression covers the key points of the basic logistic regression model and illustrates how to use it properly to model a binary response variable. This powerful methodology can be used to analyze data from various fields, including medical and health outcomes research, business analytics and data science, ecology, fisheries, astronomy, transportation, insurance, economics, recreation, and sports. By harnessing the capabilities of the logistic model, analysts can better understand their data, make appropriate predictions and classifications, and determine the odds of one value of a predictor compared to another. Drawing on his many years of teaching logistic regression, using logistic-based models in research, and writing about the subject, Professor Hilbe focuses on the most important features of the logistic model. Serving as a guide between the author and readers, the book explains how to construct a logistic model, interpret coefficients and odds ratios, predict probabilities and their standard errors based on the model, and evaluate the model as to its fit. Using a variety of real data examples, mostly from health outcomes, the author offers a basic step-by-step guide to developing and interpreting observation and grouped logistic models as well as penalized and exact logistic regression. He also gives a step-by-step guide to modeling Bayesian logistic regression. R statistical software is used throughout the book to display the statistical models while SAS and Stata codes for all examples are included at the end of each chapter. The example code can be adapted to readers' own analyses. All the code is available on the author's website."--Provided by publisher.
650 0 $aLogistic regression analysis.
650 0 $aRegression analysis.
650 0 $aMultivariate analysis.
650 0 $aStatistics.
650 2 $aLogistic Models
650 2 $aMultivariate Analysis
650 2 $aRegression Analysis
650 6 $aRégression logistique.
650 6 $aAnalyse de régression.
650 6 $aAnalyse multivariée.
650 7 $aMATHEMATICS$xApplied.$2bisacsh
650 7 $aMATHEMATICS$xProbability & Statistics$xGeneral.$2bisacsh
650 7 $aLogistic regression analysis.$2fast$0(OCoLC)fst01002083
650 7 $aMultivariate analysis.$2fast$0(OCoLC)fst01029105
650 7 $aRegression analysis.$2fast$0(OCoLC)fst01432090
650 7 $aStatistics.$2fast$0(OCoLC)fst01132103
650 7 $aMultivariat analys.$2sao
650 7 $aRegressionsanalys.$2sao
655 0 $aElectronic books.
655 4 $aElectronic books.
776 08 $iPrint version:$aHilbe, Joseph M., 1944-$tPractical guide to logistic regression.$dBoca Raton : CRC Press/Taylor & Francis, 2016$z9781498709576$w(DLC) 2015012864$w(OCoLC)907931313
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15116931$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS