JSM 2004 - Toronto

Abstract #300523

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Activity Number: 131
Type: Luncheons
Date/Time: Monday, August 9, 2004 : 12:30 PM to 1:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #300523
Title: Dealing with Missing Data in Longitudinal Studies - SOLD OUT
Author(s): Geert Molenberghs*+
Companies: Limburgs Universitair Centrum
Address: Universitaire Campus, Building D, Diepenbeek, International, B-3590, Belgium
Keywords: missing data ; longitudinal data ; randomized clinical trial ; observational study ; ignorability
Abstract:

Incomplete data is omnipresent in longitudinal studies, especially with human subjects. Over the last decades, a number of strategies have become the norm to deal with this problem, including complete case analysis and last observation carried forward. More recently, a wide variety of more advanced missing data handling methods have become available, together with software tools in standard statistical packages. At the same time, increasing concern has been expressed about the appropriateness of the simpler strategies. Therefore, it looks like a paradigm shift is necessary from the simpler methods to, for example, likelihood- (or Bayesian-) based ignorable analyses, perhaps supplemented with well-chosen sensitivity analysis tools.

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Revised March 2004