08 Apr WEBINAR – Methods for Dealing with Confounding in Observational Studies: Instrumental Variables
The CLEAR Center statistical methods webinar series focuses on key topics that research investigators, journal editors, and clinicians encounter as they develop and conduct research studies, review research manuscripts, and stay up-to-date on the latest research in their field.
In partnership with PM&R Journal, we are pleased to bring you the second installment in the series, focusing on instrumental variables. Dr. Kristin Sainani, Associate Professor of Health Research and Policy, Stanford University, will review instrumental variables, including what they are, how they work, and their advantages/disadvantages. This webinar and previous talks in this series, are recorded and made available on the CLEAR Center website.
About the Speaker
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).
