The Spring 2023 SDS Seminar Series continues on Friday, February 17th from 2:00 p.m. to 3:00 p.m. with Dr. Yen Chi-Chen (Assistant Professor at the University of Washington, Seattle). This event is virtual.
Title: Pattern Graphs: a Graphical Approach to Nonmonotone Missing Data
Abstract: We introduce the concept of pattern graphs--directed acyclic graphs representing how response patterns are associated. A pattern graph represents an identifying restriction that is nonparametrically identified/saturated and is often a missing not at random restriction. We introduce a selection model and a pattern mixture model formulations using the pattern graphs and show that they are equivalent. A pattern graph leads to an inverse probability weighting estimator as well as an imputation-based estimator. We also study the semi-parametric efficiency theory and derive a multiply-robust estimator using pattern graphs.