The UW Clear Center, in partnership with PM&R Journal, is pleased to announce the launch of a series of research statistics methods webinars. The webinar series will focus on key statistical topics that research investigators, journal editors, clinicians, and others encounter on a day-to-day basis as they develop and run research studies, review research manuscripts, and stay up-to-date on the latest research in their field.
The first webinar in the series will focus on propensity score matching. Join us!
Date: Friday, February 1, 2019
Time: 11am-12pm Pacific / 2-3pm Eastern
Title: Methods for dealing with confounding in observational studies: propensity score matching
Presenter: Kristin Sainani, PhD, Associate Professor of Health Research and Policy, Stanford University
About the Presenter
Kristin Sainani (née Cobb) is an Associate Professor at Stanford University. She received an MS in statistics and a PhD in epidemiology from Stanford University and also studied science writing at the University of California, Santa Cruz. She has taught statistics and writing at Stanford for fifteen years and received the 2018 Biosciences Award for Excellence in Graduate Teaching. Dr. Sainani writes about science, health, and statistics for a range of audiences. She also does research in sports medicine, and is the statistical editor for the journal Physical Medicine & Rehabilitation. She teaches two popular Massive Open Online Courses (MOOCs): Writing in the Sciences (Coursera) and Statistics in Medicine (OpenEdX).