Methods Hub Seminar Series: Accessible Causal Inference

Events > Methods Hub Seminar Series: Accessible Causal Inference
Date Date
Date:
August 19, 2024
Time Time
Time:
3:00 – 4:30pm
Professor George Perrett
Visiting Assistant Professor
Department of Applied Statistics, Social Science, and Humanities
Steinhardt School of Culture, Education, and Human Development
New York University
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Biography

Join us for the β€œMethods Hub Seminar Series: Accessible Causal Inference” featuring π˜—π˜³π˜°π˜§π˜¦π˜΄π˜΄π˜°π˜³ 𝘎𝘦𝘰𝘳𝘨𝘦 π˜—π˜¦π˜³π˜³π˜¦π˜΅π˜΅! In this seminar, you’ll learn about the advantages of machine learning algorithms for identifying what works for whom and estimating causal effects for observational studies where treatment or intervention is not randomly assigned.
Professor Perrett will also introduce new software to aid the implementation of these approaches. Don’t miss this opportunity to gain insights on causal inference methods for randomized and observational studies.

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