Bayesian Survival Analysis

Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. Several topics are addressed, including parametric models, semiparametric models based on...

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Bibliographic Details
Main Authors: Ibrahim, Joseph G., Chen, Ming-Hui (Author), Sinha, Debajyoti (Author)
Format: eBook
Language:English
Published: New York, NY Springer New York 2001, 2001
Edition:1st ed. 2001
Series:Springer Series in Statistics
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
Table of Contents:
  • 1 Introduction
  • 2 Parametric Models
  • 3 Semiparametric Models
  • 4 Frailty Models
  • 5 Cure Rate Models
  • 6 Model Comparison
  • 7 Joint Models for Longitudinal and Survival Data
  • 8 Missing Covariate Data
  • 9 Design and Monitoring of Randomized Clinical Trials
  • 10 Other Topics
  • List of Distributions
  • References
  • Author Index