Statistics Seminar "Dealing with Nonignorable Missing Data"

Professor Donald Rubin is ​2017/2018 Nirit and Michael Shaoul Fellow of the Mortimer and Raymond Sackler Institute of Advanced Studies

Abstract

This talk has two connected parts.

The first presents a new class of models for analyzing non-ignorable missing data, apparently first suggested by John Tukey at a recondite conference at ETS in Princeton NJ.

The second part presents “enhanced tipping point displays,” introduced recently to visually reveal sensitivity of statistical conclusions to alterations of the assumptions about the reasons for missing data in the context of a real submission to the US FDA.

​Both topics rely on modern computing power but in very different ways, the former on numerical computational speed, the latter on the extreme flexibility of visual displays.