Week 3

Purpose

The purpose of this video lecture is to discuss the potential outcomes framework, propensity score (PS)-based methods, more about sample equating and the causal estimates, and study design issues and limitations.

Meet the Guest Speaker

Dr. Landsittel earned his PhD in Biostatistics from the University of Pittsburgh in 1997 and has held numerous academic appointments and leadership positions there over the past 20 years. He has most recently served as a Professor of Biomedical Informatics, Biostatistics, Medicine, and Clinical and Translational Science in the School of Medicine, where he was Director of the Biomedical Statistics & Data Science Lab, Director of Biostatistics (for Research), Starzl Transplant Institute, and Director of the Expanding National Capacity in PCOR through Training & Collaboration (ENACT) Network.

Dr. Landsittel has a substantial background in occupational injury and exposures, biomarkers and prognostic models, and causal inference. Developing educational resources for patient-centered outcomes research (PCOR), other causal inference methods, and other general educational resources in statistics, biomarkers, and epidemiology are among his research interessts.

Video Lecture

The video lecture is broken into four parts: (a) Introduction (b) The Potential Outcomes Framework (c) Propensity Score (PS)-based Methods, and (d) study design issues and limitations.

Please click each tab to watch each part of the video lecture.

Introduction
The Potential Outcomes Framework
Propensity Score (PS)-based Methods
More on Trial Emulation

Introduction

Introduction

Propensity Score (PS)-based Methods

More on Trial Emulation

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