Congratulations to Associate Professor Judith Lok, who was recently awarded an NSF grant for her work on “Causal inference methods for mediation and comparisons of confidence regions”. See award abstract … Continue reading “Judith Lok Awarded NSF Grant”
The Department of Mathematics and Statistics and the Department of Biostatistics and Epidemiology of the University of Massachusetts-Amherst are excited to co-host the 32nd annual New England Statistics Symposium (NESS) on Saturday, … Continue reading “32nd Annual NESS – Abstracts Due 3/30”
Tuesday March 20, 2018 Speaker: Jessica Cao Title: Internship at Boehringer Ingelheim & Cost-effectiveness Analysis for Hepatitis C Treatment in Chile Abstract: In the first half of this talk, I will discuss my … Continue reading “Upcoming PhD Student Seminars”
An Introduction to Causal Inference: This 5-day course introduces concepts and methods for causal inference from observational data. Upon completion of the course, participants will be prepared to further explore the causal inference … Continue reading “Summer Short Course on Causal Inference”
Ever wanted to learn to use Python? The lab of JP Onnela recently published 90 videos for the HarvardX course on Using Python for Research. Launched in January 2018, Version 2 … Continue reading “Biostats Learning Resources Online”
Alex D’Amour Neyman Visiting Assistant Professor Dept of Statistics, UC Berkeley Thursday, March 8 EPI Library, Kresge 907 3:00-4:00 PM Overlap in Observational Studies with High-Dimensional Covariates Causal inference … Continue reading “Environmental Statistics Seminar with Alex D’amour – 3/8”
