Web-Based Lectures




Title: Mediation Analysis with Failure Time Outcomes
Presenter: Linda Valeri, Columbia University, NY, USA
Date and Time: Friday, March 3, 2023, 10:00 a.m. – 12:00 p.m. ET (This course will be taught via Zoom)
Sponsor: Lifetime Data Science Section

Registration Deadline: Friday, March 3, 2023, at 9:30 a.m. Eastern time

Description:
The course covers recent developments in causal mediation analysis for failure time outcomes and provide practical tools to implement these techniques. Mediation analysis concerns assessing the mechanisms and pathways by which causal effects operate. The course covers the relationship between traditional methods for mediation in epidemiology and the social sciences and new methods in causal inference. For time-to-event outcomes, we discuss when the standard approaches to mediation analysis are valid. Using ideas from causal inference and natural direct and indirect effects, alternative mediation analysis techniques are described when the standard approaches do not work. The no-confounding assumptions needed for these techniques are described. SAS, R and Stata macros to implement these techniques are covered. The methods will be illustrated by an application.

Part 1 - Background and Review of Methodology
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- An introduction to mediation analysis under the counterfactual framework
- Natural direct and indirect effects in a survival analysis context
- Regression approaches for direct and indirect effects in the presence of failure time outcomes
- Inference and software for mediation analysis

Part 2 – Application and Extensions
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- Application: Evaluating interventions to reduce racial disparities in cancer survival
- Extensions: Mediation analysis in the presence of semi-competing risks

Registration Fees:
Lifetime Data Science Section Members: $20
ASA Members: $30
Student ASA Member: $25
Nonmembers: $45

Register

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