JSM Activity #288

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Activity ID:  288
Title
Modeling Survival Data
Date / Time / Room Sponsor Type
08/14/2002
8:30 AM - 10:20 AM
Room: H-Gibson Suite 		Biometrics Section*, Biopharmaceutical Section*, ENAR Contributed
Organizer: n/a
Chair: Zhezhen Jin, Columbia University
Discussant:  
Description

This session will cover current approaches to a number of issues that arise in the modeling of survival data: Multistate models, efficiency of estimation, latent-class models, tree-based models, model misspecification and empirical likelihood.
  301231  By:  Youyi  Shu 8:35 AM 08/14/2002
Multistate Survival Analysis: A Class of Non and Semiparametric Markov Regression Models Based on Additive Risk

  301354  By:  Hui  Xie 8:50 AM 08/14/2002
The Price of Kaplan-Meier

  300404  By:  Philimon  Gona 9:05 AM 08/14/2002
Bootstrap and Jackknife Techniques Applied to Complicated Data Structure Contaminated with Censored Outcomes

  300909  By:  Klaus  Larsen 9:20 AM 08/14/2002
Survival Analysis with Multiple Discrete Indicators of Latent Classes

  301496  By:  Yanming  Yin 9:35 AM 08/14/2002
Nonparametric Tree-tructured Modeling for Interval-censored Survival Data

  301259  By:  Zdenek  Valenta 9:50 AM 08/14/2002
Model Misspecification Effects in Univariable Regression Models for Right-censored Survival Data

  301523  By:  Yi-Chuan  Zhao 10:05 AM 08/14/2002
Empirical Likelihood Methods for Comparison of Survival Functions

JSM 2002

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Revised March 2002