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024 7 $a10.1201/9781420073911 
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100   $a20100611d2010      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 10$aFrailty models in survival analysis /$fAndreas Wienke
205   $a1st ed.
210   $aBoca Raton $cTaylor & Francis$d2010
215   $a1 online resource (322 p.)
225 1 $aChapman & Hall/CRC biostatistics series
300   $a"A CRC title."
311   $a1-322-61371-0 
311   $a1-4200-7388-5 
320   $aIncludes bibliographical references and index.
327   $aFront cover; Contents; List of Tables; List of Figures; Preface; Chapter 1: Introduction; Chapter 2: Survival Analysis; Chapter 3: Univariate Frailty Models; Chapter 4: Shared Frailty Models; Chapter 5: Correlated Frailty Models; Chapter 6: Copula Models; Appendix A; References; Back cover
330   $aThe concept of frailty offers a convenient way to introduce unobserved heterogeneity and associations into models for survival data. In its simplest form, frailty is an unobserved random proportionality factor that modifies the hazard function of an individual or a group of related individuals. ""Frailty Models in Survival Analysis"" presents a comprehensive overview of the fundamental approaches in the area of frailty models. The book extensively explores how univariate frailty models can represent unobserved heterogeneity. It also emphasizes correlated frailty models as extensions of univari
410  0$aChapman & Hall/CRC biostatistics series.
606   $aFailure time data analysis$xMathematics
606   $aSurvival analysis (Biometry)$xMathematics
606   $aMortality$xMathematical models
606   $aDemography$xMathematics
615  0$aFailure time data analysis$xMathematics.
615  0$aSurvival analysis (Biometry)$xMathematics.
615  0$aMortality$xMathematical models.
615  0$aDemography$xMathematics.
676   $a519.5/46
686   $a31.80$2bcl
700   $aWienke$b Andreas$01600348
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910823281803321
996   $aFrailty models in survival analysis$93923391
997   $aUNINA