JSM Activity #384

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Activity ID:  384
Title
Ignorable and Nonignorable Missing Data Methods
Date / Time / Room Sponsor Type
08/15/2002
8:30 AM - 10:20 AM
Room: H-Morgan Suite 		Biometrics Section*, ENAR, General Methodology Contributed
Organizer: n/a
Chair: Michael Larsen, University of Chicago
Discussant:  
Description

New methods of dealing with ignorable and nonignorable missing data methods are presented. Applications to experimental design, linear models, time series models, and general linear mixed models for unbalanced longitudinal data are discussed.
  300792  By:  Guoguang (Julie)  Ma 8:35 AM 08/15/2002
Local Sensitivity to Nonignorability in Frequentist Inference

  300702  By:  Ofer  Harel 8:50 AM 08/15/2002
Two-stage Multiple Imputation

  301834  By:  Alicia Y. Toledano 9:05 AM 08/15/2002
Analysis of Several Correlated Nonparametric ROC Curves in the Presence of Missing Data

  301494  By:  Yvonne M. Zubovic 9:20 AM 08/15/2002
Power of the Regression Coefficients Tests Under Various Imputation Methods

  301415  By:  Rachel T. Fouladi 9:35 AM 08/15/2002
General Linear Mixed Models of Longitudinal Studies: Small Samples, Varied Distributional Conditions, and Missing Data

  301135  By:  Alexia  Iasonos 9:50 AM 08/15/2002
The Effect of Missing Data on Linear Filters

  301532  By:  Gong  Tang 10:05 AM 08/15/2002
An Imputation Method for Data with Non-ignorable Nonresponse

JSM 2002

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Revised March 2002