| 000 | 02498nam a2200301Ia 4500 | ||
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| 003 | OSt | ||
| 005 | 20250923145914.0 | ||
| 008 | 220909b |||||||| |||| 00| 0 eng d | ||
| 020 | _a9781420073881 | ||
| 037 | _cTextual | ||
| 040 |
_aCSL _beng _cCSL |
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| 041 | _aeng. | ||
| 084 |
_aB28 Q1 _qCSL |
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| 100 |
_aWienke, Andreas _eauthor. _9840133 |
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| 245 | 0 |
_c/ by Andreas Wienke _aFrailty Models in Survival Analysis |
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| 260 |
_aBoca : _bRaton CRC press, _c2011. |
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| 300 | _axxi, 301p. | ||
| 490 | _aChapman and hall/CRC biostatistica series | ||
| 500 | _aIncludes Appendix 243-264p.; References 265-298p.; Index 299-301p. | ||
| 520 | _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 univariate and shared frailty models. The author analyzes similarities and differences between frailty and copula models; discusses problems related to frailty models, such as tests for homogeneity; and describes parametric and semiparametric models using both frequentist and Bayesian approaches. He also shows how to apply the models to real data using the statistical packages of R, SAS, and Stata. The appendix provides the technical mathematical results used throughout. Written in nontechnical terms accessible to nonspecialists, this book explains the basic ideas in frailty modeling and statistical techniques, with a focus on real-world data application and interpretation of the results. By applying several models to the same data, it allows for the comparison of their advantages and limitations under varying model assumptions. The book also employs simulations to analyze the finite sample size performance of the models. | ||
| 650 |
_aDemography. _9840135 |
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| 650 |
_aFailure time data analysis. _9840137 |
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| 650 |
_aMathmatics. _9840138 |
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| 650 |
_aSurvival analysis. _9840140 |
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| 650 |
_aStatistics. _9840142 |
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| 942 |
_hB28 Q1 _cTEXL _2CC _n0 |
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| 999 |
_c6723 _d6723 |
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