Survival Analysis A Self-Learning Text /

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This greatly expanded second edition of Survival Analysis- A Self-learning Text provides a highly readable description of state-of-the-art methods of analysis of survival/event-history data. This text is suitable for researchers and statisticians working in the medical and other life sciences as wel...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kleinbaum, David G. (Autor), Klein, Mitchel (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York, NY : Springer New York : Imprint: Springer, 2005.
Edición:2nd ed. 2005.
Colección:Statistics for Biology and Health,
Temas:
Probabilities.
Biometry.
Epidemiology.
Statistics .
Probability Theory.
Biostatistics.
Statistical Theory and Methods.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • to Survival Analysis
  • Kaplan-Meier Survival Curves and the Log-Rank Test
  • The Cox Proportional Hazards Model and Its Characteristics
  • Evaluating the Proportional Hazards Assumption
  • The Stratified Cox Procedure
  • Extension of the Cox Proportional Hazards Model for Time-Dependent Variables
  • Parametric Survival Models
  • Recurrent Event Survival Analysis
  • Competing Risks Survival Analysis.

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