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VA Statisticians' Association

Introduction on Statistical Methods for Analysis of Missing Data

by Andrew Zhou, PhD
Seminar date: 1/28/2014

Description: In all fields of study, missing data are a common problem since, for any data collection process, there are so many things that could go wrong that missing values are all too likely. So when attempts are made to answer the scientific questions of interest, researchers ask the all-too-common question: what do we do with the missing data? In this lecture, we give an overview of methods for dealing with missing data and describe some design strategies for minimizing the impact of missing data. The intended audience is clinical and health services researchers. Only basic statistical knowledge is required.

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