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2002

Summer Institute 2002Presented by Joseph Schafer
Department of Statistics and The Methodology Center
The Pennsylvania State University

Course Outline
Motivation and theory
  • Motivating examples
  • Ad hoc techniques
  • The distribution of missingness
  • Implications of MCAR, MAR


Review of longitudinal modeling

  • Classical ANOVA
  • Linear mixed models
  • Nonlinear mixed models
  • Semiparametric models using GEE


Computing Session I: Examples of longitudinal modeling in SAS

Multiple imputation for longitudinal settings

  • What is MI?
  • How MI works
  • Frequently asked questions
  • Software
  • NORM
  • Comparing MI and ML
  • Auxiliary variables
  • PAN


Computing Session II: Comparing MI with NORM to likelihood and marginal modeling

Methods for nonignorable dropout

  • Motivation
  • Random-coefficient pattern-mixture models
  • Extrapolation methods
  • Examples and simulations


Computing Session III: Implementing a random-coefficient pattern-mixture model

Weighted Estimating Equations

  • The principle of weighting
  • WEE
  • Doubly robust?
 

Comments about the Summer Institute

The Methodology Center’s Summer Institutes are the most useful summer seminar series I’ve been to. I’ve been to them many times—I started coming as soon as I became an academic—and the organizers get some of the best names in the field who can teach about cutting-edge topics.
Dr. Margaret Keiley, Professor of Human Development and Family Studies at Auburn University
Summer Institute Improves Research Skills by Liam Jackson

Penn State