Modeling survival data : extending the Cox model / Terry M. THERNEAU, Patricia M. GRAMBSCH
Por: THERNEAU, Terry M
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Colaborador(es): GRAMBSCH, Patricia M.
Tipo de material: 
TextoEditor: New York : Springer, cop. 2000Descripción: xiii, 350 p. : taules ; 30 cm.ISBN: 0387987843; 9780387987842.Tema(s): Anàlisi de supervivència (Biometria)Género/Forma: SALUD PÚBLICA | DEMOGRAFÍA MÉDICA | ANALISIS DE SUPERVIVENCIA | MÉTODOS ESTADÍSTICOS | ESTIMACIONES | MODELOS MATEMÁTICOS | METODOLOGÍA | PROCESAMIENTO DE DATOSResumen: This book is for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Building on recent developments motivated by counting process and martingale theory, it shows the reader how to extend the Cox model to analyze multiple/correlated event data using marginal and random effects. The focus is on actual data examples, the analysis and interpretation of results, and computation. The book shows how these new methods can be implemented in SAS and S-Plus, including computer code, worked examples, and data sets.
| Tipo de ítem | Ubicación actual | Signatura | Estado | Notas | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|
Monografies
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Centre d'Estudis Demogràfics | Models-THE (Navegar estantería) | Disponible | Localització: Prestatgeria Salut Pública | 009350 |
Navegando Centre d'Estudis Demogràfics Estantes Cerrar el navegador de estanterías
| Models-SCH Dynamic population models / | Models-SHE Mathematical models of conception and birth / | Models-SON Population system control / | Models-THE Modeling survival data : | Modernització(47)-JON Modernization, value change and fertility in the Soviet Union / | Monoparentalitat(42)-DUN Lone mothers, paid work and gendered moral rationalities / | Monoparentalitat(44)-INS Les familles monoparentales / |
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This book is for statistical practitioners, particularly those who design and analyze studies for survival and event history data. Building on recent developments motivated by counting process and martingale theory, it shows the reader how to extend the Cox model to analyze multiple/correlated event data using marginal and random effects. The focus is on actual data examples, the analysis and interpretation of results, and computation. The book shows how these new methods can be implemented in SAS and S-Plus, including computer code, worked examples, and data sets.
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