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Enrichment experience: David Sprott distinguished lectureExport this event to calendar

Thursday, September 24, 2015 — 4:00 PM EDT

Enrich your learning experience by attending an event or activity at the University of Waterloo! Enrichment experiences are a great opportunity to engage with the wider university community. It is also a fantastic way to practice your listening and speaking skills in English.

David Sprott distinguished lecture: Raymond J. Carroll, Texas A&M University

Information from various public and private data sources of extremely large sample sizes are now increasingly available for research purposes. Statistical methods are needed for utilizing information from such big data sources while analyzing data from individual studies that may collect more detailed information required for addressing specific hypotheses of interest. We consider the problem of building regression models based on individual-level data from an "internal'' study while utilizing summary-level information, such as information on parameters for reduced models, from an "external'' big-data source. We identify a set of constraints that link internal and external models. These constraints are used to develop a framework for semiparametric maximum likelihood inference that allows the distribution of the covariates to be estimated using either the internal sample or an external reference sample. We develop extensions for handling complex stratified sampling designs, such as case-control sampling, for the internal study. Asymptotic theory and variance estimators are developed for each case. We use simulation studies and a real data application to assess the performance of the proposed methods.

Location 
MC - Mathematics & Computer Building
4021
200 University Avenue West

Waterloo, ON N2L 3G1
Canada

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