MARC record from Internet Archive

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003 OCoLC
005 20200428223339.0
008 980611s1999 nyua b 001 0 eng
010 $a 98027511
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060 00 $a1999 K-386
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100 1 $aHosmer, David W.
245 10 $aApplied survival analysis :$bregression modeling of time to event data /$cDavid W. Hosmer, Jr., Stanley Lemeshow.
260 $aNew York :$bWiley,$c℗♭1999.
300 $axiii, 386 pages :$billustrations ;$c25 cm
336 $atext$btxt$2rdacontent
337 $aunmediated$bn$2rdamedia
338 $avolume$bnc$2rdacarrier
490 1 $aWiley series in probability and statistics. Texts and references section
500 $a"A Wiley-Interscience publication."
504 $aIncludes bibliographical references (pages 365-377) and index.
505 0 $aIntroduction to Regression Modeling of Survival Data -- Descriptive Methods for Survival Data -- Regression Models for Survival Data -- Interpretation of a Fitted Proportional Hazards Regression Model -- Model Development -- Assessment of Model Adequacy -- Extensions of the Proportional Hazards Model -- Parametric Regression Models -- Other Models and Topics.
520 $aApplied Survival Analysis is a comprehensive introduction to regression modeling for time to event data used in epidemiological, biostatistical, and other health-related research. Unlike other texts on the subject, it focuses almost exclusively on practical applications rather than mathematical theory and offers clear, accessible presentations of modern modeling techniques supplemented with real-world examples and case studies. While the authors emphasize the proportional hazards model, descriptive methods and parametric models are also considered in some detail. Applied Survival Analysis is an ideal introduction for graduate students in biostatistics and epidemiology, as well as researchers in health-related fields.
650 0 $aMedicine$xResearch$xStatistical methods.
650 0 $aMedical sciences$xStatistical methods$xComputer programs.
650 0 $aRegression analysis$xData processing.
650 0 $aPrognosis$xStatistical methods.
650 0 $aLogistic distribution.
650 12 $aSurvival Analysis.
650 22 $aLogistic Models.
650 22 $aMathematical Computing.
650 22 $aPrognosis.
650 22 $aRegression Analysis.
650 6 $aMe decine$xRecherche$xMe thodes statistiques.
650 6 $aSciences de la sante $xMe thodes statistiques$xLogiciels.
650 6 $aAnalyse de re gression$xInformatique.
650 6 $aPronostics (Pathologie)$xMe thodes statistiques.
650 6 $aDistribution logistique.
650 7 $aLogistic distribution.$2fast$0(OCoLC)fst01002082
650 7 $aMedicine$xResearch$xStatistical methods.$2fast$0(OCoLC)fst01015091
650 7 $aPrognosis$xStatistical methods.$2fast$0(OCoLC)fst01078656
650 7 $aRegression analysis$xData processing.$2fast$0(OCoLC)fst01093274
650 7 $aMedizinische Statistik$2gnd
650 7 $aPrognose$2gnd
650 7 $aRegressionsanalyse$2gnd
650 7 $aStatistische Analyse$2gnd
650 7 $aZusammengesetzte Verteilung$2gnd
650 7 $aU berleben$2gnd
650 17 $aOverlevingsanalyse.$2gtt
700 1 $aLemeshow, Stanley.
776 08 $iOnline version:$aHosmer, David W.$tApplied survival analysis.$dNew York : Wiley, ℗♭1999$w(OCoLC)654735278
830 0 $aWiley series in probability and statistics.$pTexts and references section.
856 41 $3Table of contents$uhttp://catdir.loc.gov/catdir/toc/onix03/98027511.html
856 41 $3Table of contents$uhttp://digitool.hbz-nrw.de:1801/webclient/DeliveryManager?pid=1772226&custom_att_2=simple_viewer
856 42 $3Contributor biographical information$uhttp://catdir.loc.gov/catdir/bios/wiley046/98027511.html
856 42 $3Publisher description$uhttp://catdir.loc.gov/catdir/description/wiley0310/98027511.html
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