JSM Activity #347

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Activity ID:  347
Title
* Analzying Response Profiles from Longitudinal Data Using Mixed Models
Date / Time / Room Sponsor Type
08/14/2002
2:00 PM - 3:50 PM
Room: H-West Ballroom 		Biometrics Section*, ENAR, Section on Risk Analysis*, Section on Statistics in Epidemiology* Topic Contributed
Organizer: Beverly Schnell, Procter & Gamble Company
Chair: Beverly Schnell, Procter & Gamble Company
Discussant: 3:25 PM - George Milliken, Kansas State University    
Floor Discussion 3:45 PM
Description

This session will demonstrate innovative approaches to the analysis of response profiles from longitudinal data such as (1) longitudinal multiple source outcomes obtained from multiple informants or raters, (2) longitudinal clinical trial data with subject dropout, (3) serial categorical data, and (4) serial responses that may be altered by event risks. The methods of analysis include likelihood-based mixed-effects models, a "arginalized transition model" and a joint model that examines the association between longitudinal responses and event risks.
  300797  By:  Craig H. Mallinckrodt 2:05 PM 08/14/2002
Response Profiles for Longitudinal Clinical Trial Data with Subject Dropout

  300511  By:  DuBois  Bowman 2:25 PM 08/14/2002
Jointly Modeling Longitudinal Data Profiles and Response-Altering Event Risks

  300704  By:  Garrett M. Fitzmaurice 2:45 PM 08/14/2002
Applications of Mixed Models to the Analysis of Longitudinal Multiple Source Data

  301839  By:  Patrick J. Heagerty 3:05 PM 08/14/2002
Longitudinal Categorical Data and Likelihood Inference

JSM 2002

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Revised March 2002