|Topic:||Non-standard Problems in Statistical Inference: Bartlett Identity, Boundary, Identifiability Issues|
|Time:||2:30 pm - 3:30 pm|
|Venue:||Science Centre L2|
|Speaker:||Dr. Yong CHEN|
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.