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Propensity scores (PS) are widely used to mitigate confounding and improve causal inference of observational studies in health research. This workshop will cover the why, when and how to use PS for causal inference.
Questions we will answer include: how do propensity scores address confounding? How should we estimate PS? Which variables should we use in PS estimation? What is inverse probability of treatment weighting (IPTW)? How does IPTW compare to other PS methods like stratification and regression? and what are high dimensional propensity scores (HDPS). We will base our approach on the ideas of potential outcomes, the counterfactual framework, and how these relate to confounding in observational studies.
The workshop will comprise two 3-hour sessions over 2 days. Day 1 will focus on the theoretical foundation of causal inference and PS estimation and methods. Day 2 will focus on SAS demonstration of PS estimation and methods (participants will also be provided R codes for the demonstration).
This workshop assumes a working knowledge of observational research designs and multiple regression methods, including logistic regression. SAS will be used to demonstrate the implementation of PS methods; prior basic experience in SAS would be helpful but not essential.
Sessions will be held from 9am to 12pm (CT) on Tuesday, May 4th and Wednesday, May 5th, 2021.
By the end of this online workshop, participants will have the knowledge and skills necessary to:
- Recognize the value of PS in addressing confounding.
- Select variables and estimate PS.
- Compare strengths and weaknesses of different PS methods.
- Implement the PS methods in SAS.
$50.00 – Academic, Researchers and Students
Amani Hamad, Post-Doctoral Fellow, Data Science, Centre for Healthcare Innovation
Brendan Dufault, Biostatistical Consultant, Centre for Healthcare Innovation
Robert Balshaw, Senior Biostatistician, Centre for Healthcare Innovation
For more information, please email Amani Hamad.
Registration Cancellation Policy:
A registration refund will be made upon written request on or before May 2, 2021. A $35 administrative fee will be retained. No refunds will be made for cancellations after this date.