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| Duration: | 1 hour |
|---|---|
| Where: | Join us from anywhere! |
| Cost: | Free—but registrations are limited |
Causal mediation analysis determines the mechanism through which a treatment influences an outcome through a mediator. The objective of this webinar is to provide a practical guide, facilitating an understanding and implementation of causal mediation analysis using Stata 18's new mediate command.
We will begin by introducing the fundamental steps of causal analysis and then apply these steps to causal mediation analysis. Additionally, we will highlight the differences between causal and traditional mediation analysis. The webinar will also delve into various types of direct and indirect effects, illustrating their practical applications. Examples demonstrating how to perform causal mediation estimation within Stata, using different types of outcomes and mediators (continuous, binary, and count), will be provided. No prior knowledge of Stata is required, although a basic understanding of causal inference will be beneficial.
The webinar is free, but you must register to attend. Registrations are limited so register soon.
We will send you an email prior to the start with instructions on how to access the webinar.
Aramayis Dallakyan is a Senior Statistician and Software Developer at StataCorp LLC. His research interests lie at the intersection of high-dimensional time series, causal discovery, and statistical/machine learning. Aramayis has published articles in renowned journals, including the Journal of Graphical and Computational Statistics, the Journal of Computational Statistics and Data Analysis, and the Stata Journal. Prior to joining StataCorp, he earned a PhD in statistics from Texas A&M University.
