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PRS Research Seminar Presents: Jerry Reiter – Duke University
November 5, 2019 @ 1:00 pm - 2:30 pm
Department Chair and Professor of Statistical Science, Duke University
“How Auxiliary Information Can Help Your Missing Data Problem”
Many surveys (and other types of databases) suffer from unit and item nonresponse. Typical practice accounts for unit nonresponse by inflating respondents’ survey weights, and accounts for item nonresponse using some form of imputation. Most methods implicitly treat both sources of nonresponse as missing at random. Sometimes, however, one knows information about the marginal distributions of some of the variables subject to missingness. In this talk, I discuss how such information can be leveraged to handle nonignorable missing data, including allowing different mechanisms for unit and item nonresponse (e.g., nonignorable unit nonresponse and ignorable item nonresponse).
Jerry Reiter is Department Chair and Professor of Statistical Science at Duke University. His main areas of research include methods for protecting confidentiality in data, for handling missing and erroneous values, for integrating information from multiple sources, and for analysis of surveys and causal studies. He received a PhD in statistics from Harvard University in 1999.
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