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LEADER: 05026cam a2200781Ia 4500
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008 120423s2012 fluac ob 001 0 eng d
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020 $a9781439875223$q(electronic bk.)
020 $a1439875227$q(electronic bk.)
020 $z9781439875216$q(print)
020 $z1439875219$q(print)
020 $z1306498937
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050 4 $aQA276$b.C83 2012
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049 $aZCUA
100 1 $aCrowder, M. J.$q(Martin J.),$d1943-
245 10 $aMultivariate survival analysis and competing risks /$cMartin Crowder.
260 $aBoca Raton, FL :$bCRC Press,$c©2012.
300 $a1 online resource (xxiv, 393 pages) :$billustrations
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
490 1 $aChapman & Hall/CRC texts in statistical science series
520 $a"Preface This book is an outgrowth of Classical Competing Risks (2001). I was very pleased to be encouraged by Rob Calver and Jim Zidek to write a second, expanded edition. Among other things it gives the opportunity to correct the many errors that crept into the first edition. This edition has been typed in Latex by my own fair hand, so the inevitable errors are now all down to me. The book is now divided into four sections but I won't go through describing them in detail here since the contents are listed on the next few pages. The book contains a variety of data tables together with R-code applied to them. For your convenience these can be found on the Web site at. Au: Please provideWeb site url. Survival analysis has its roots in death and disease among humans and animals, and much of the published literature reflects this. In this book, although inevitably including such data, I try to strike a more cheerful note with examples and applications of a less sombre nature. Some of the data included might be seen as a little unusual in the context, but the methodology of survival analysis extends to a wider field. Also, more prominence is given here to discrete time than is often the case. There are many excellent books in this area nowadays. In particular, I have learnt much fromLawless (2003), Kalbfleisch and Prentice (2002) and Cox and Oakes (1984). More specialised works, such as Cook and Lawless (2007, for Au: Add to recurrent events), Collett (2003, for medical applications), andWolstenholme refs"--$cProvided by publisher.
504 $aIncludes bibliographical references and index.
588 0 $aPrint version record.
505 0 $apt. 1. Univariate survival analysis -- pt. 2. Multivariate survival analysis -- pt. 3. Competing risks -- pt. 4. Counting processes in survival analysis.
650 0 $aFailure time data analysis.
650 0 $aCompeting risks.
650 0 $aMultivariate analysis.
650 0 $aStatistics.
650 2 $aStatistics as Topic
650 2 $aMultivariate Analysis
650 6 $aAnalyse des temps entre défaillances.
650 6 $aRisques concurrents (Statistique)
650 6 $aAnalyse multivariée.
650 6 $aStatistiques.
650 7 $aMATHEMATICS$xProbability & Statistics$xGeneral.$2bisacsh
650 7 $aMATHEMATICS$xApplied.$2bisacsh
650 7 $aStatistics.$2fast$0(OCoLC)fst01132103
650 7 $aCompeting risks.$2fast$0(OCoLC)fst00871462
650 7 $aFailure time data analysis.$2fast$0(OCoLC)fst00919850
650 7 $aMultivariate analysis.$2fast$0(OCoLC)fst01029105
650 7 $aStatisisk teori.$2sao
655 0 $aElectronic books.
655 4 $aElectronic books.
776 08 $iPrint version:Crowder, M.J. (Martin J.), 1943-$tMultivariate survival analysis and competing risks.$dBoca Raton, FL : CRC Press, ©2012$z9781439875216$w(DLC) 2012005256$w(OCoLC)703208499
830 0 $aTexts in statistical science.
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15084583$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS