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Topic:Non-standard Problems in Statistical Inference: Bartlett Identity, Boundary, Identifiability Issues
Date:22/01/2019
Time:2:30 pm - 3:30 pm
Venue:Science Centre L2
Category:Seminars
Speaker:Dr. Yong CHEN
PDF:20190122_CHEN.pdf
Details:

Abstract

In this talk, I will cover a few ideas in tackling non-standard problems in statistical inference, including Bartlett identity, boundary and identifiability issues. I will show that these considerations are critical in model robustness, statistical power, and validity. I will also present implications of these ideas in addressing key challenges in biomedical research using massive healthcare data, in particular, electronic health records, drug/vaccine safety surveillance data. Case studies using University of Pennsylvania Biobank data will be provided.