Biostatistics Colloquium with Yu Shen – 4/11

Harvard Biostatistics Colloquium Series Thursday, April 11 4:00-5:00pm FXB-301 Yu Shen Professor and Chair ad interim,  Department of Biostatistics University of Texas MD Anderson Cancer Center Data Integration in Statistical … Continue reading “Biostatistics Colloquium with Yu Shen – 4/11”

Get to Know Our New PhD Students!

Over the next few weeks we’ll be introducing you to our first year doctoral students. Hey, I’m Sharon Caslin. I grew up in Chattanooga, Tennessee, but spent the last 13 years … Continue reading “Get to Know Our New PhD Students!”

Epidemiology Seminar with Alumnus Eric Tchetgen Tchetgen

MR GENIUS: A Principled Approach to Robust Mendelian Randomization Inference Eric Tchetgen Tchetgen, PhD Luddy Family President’s Distinguished Professor Professor of Statistics Wharton University of Pennsylvania Wednesday, October 21, 2020 … Continue reading “Epidemiology Seminar with Alumnus Eric Tchetgen Tchetgen”

Margaux Hujoel Defends Dissertation

Congratulations to Dr. Margaux Hujoel who successfully defended her dissertation “Statistical Inferences about the Genetic Architecture of Disease” last week! Dissertation Committee: Alkes Price, Po-Ru Loh (HMS), Giovanni Parmigiani, Danielle … Continue reading “Margaux Hujoel Defends Dissertation”

New Course: Stat 346 with Xihong Lin

Stat364: Scalable Statistical Inference for Big Data with Applications Time: 10:30am-11:45am, Tuesday, Spring 2020 Location: Science Center 705 Lead Instructor: Xihong Lin Unprecedented advances in digital technology have produced a … Continue reading “New Course: Stat 346 with Xihong Lin”

Scientific Inference and Big Data: Addressing the opportunities, risks, and challenges

On June 8-9, 2016, the Committee on Applied and Theoretical Statistics (CATS) of the National Academies of Sciences, Engineering, and Medicine convened a workshop to discuss how scientific inference should be applied when working with … Continue reading “Scientific Inference and Big Data: Addressing the opportunities, risks, and challenges”