Machine Learning and Mediation- August 2023
Event Phone: 1-610-715-0115
There are no upcoming dates for this event.
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In the unlikely event that Statistical Horizons LLC must cancel a seminar, we will do our best to inform you as soon as possible of the cancellation. You would then have the option of receiving a full refund of the seminar fee or a credit towards another seminar. In no event shall Statistical Horizons LLC be liable for any incidental or consequential damages that you may incur because of the cancellation.
A 4-Day Livestream Seminar Taught by David Benkeser, Ph.D.
A fundamental goal in many areas of research is to describe the pathways whereby a treatment or intervention has an impact on downstream outcomes. Many methods have been developed over the years across many different literatures to tackle this problem, providing researchers with a set of tools for assessing mediation questions and the formal causal assumptions that they require.
At the same time, interest in machine learning and artificial intelligence has blossomed. This naturally leads to the question as to whether and how these tools can be appropriately combined with mediation methods.
In this course, we will guide you through the latest methods in mediation analysis, with a special emphasis on the integration of cutting-edge machine learning and artificial intelligence techniques. You will learn how to use regression stacking and super learning to build regression models that can unlock new insights and pathways for your research.
The course will also cover multiply robust approaches, which provide a natural and powerful means of incorporating machine learning into mediation analysis while preserving the validity of confidence intervals and hypothesis tests. All methods will be illustrated with hands-on data analysis using R.
Venue: Livestream Seminar