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Notification
« A multilevel analysis of the WVS/EVS data | Main | Non-compliance, Bayesian Inference and School Vouchers: A Thesis Defense »
26 September 2005
Applied Statistics - Xihong Lin
Mike Kellermann
This week's Applied Statistics Workshop presentation will be given by Professor Xihong Lin of the Department of Biostatistics at the Harvard School of Public Health. Professor Lin received her Ph.D. in Biostatistics from the University of Washington. She is one of the newest members of the Harvard statistical community, having just moved to Harvard from the University of Michigan School of Public Health. She has published widely in journals including the American Journal of Epidemiology, Biometrika, and the Journal of the American Statistical Association. She currently serves as the co-ordinating editor of Biometrics. Among her other awards, she has been recognized as an outstanding young scholar by both the American Statistical Association and the American Public Health Association.
Professor Lin's presentation, "Causal Inference in Hybrid Intervention Trials Involving Treatment Choice," considers the problem of causal inference from experiments in which some subjects are allowed to choose the treatment that they receive. Allowing treatment choice may increase compliance levels, but creates inferential challenges not present in a fully randomized experiment. Professor Lin will discuss her approach to this problem on Wednesday, September 28 at noon in Room N354, CGIS North, 1737 Cambridge St. Lunch will be provided.
Posted by SSS Coauthors at September 26, 2005 11:53 AM