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Tuesday, July 26 • 1:30pm - 3:00pm
Causal Inference in R

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In this workshop, we’ll teach the essential elements of answering causal questions in R through causal diagrams, and causal modeling techniques such as propensity scores and inverse probability weighting. View full workshop details.
Speakers
avatar for Malcolm Barrett

Malcolm Barrett

Malcolm Barrett is a data scientist and an epidemiologist. During his Ph.D., he studied vision loss, focusing on epidemiologic methods. He's since worked in the private sector, including Teladoc Health and Apple. Malcolm is also the author of several causal inference-focused R packages... Read More →
avatar for Lucy D'Agostino McGowan

Lucy D'Agostino McGowan

Lucy D’Agostino McGowan is an assistant professor in the Mathematics and Statistics Department at Wake Forest University. She received her PhD in Biostatistics from Vanderbilt University and completed her postdoctoral training at Johns Hopkins University Bloomberg School of Public... Read More →

Tuesday July 26, 2022 1:30pm - 3:00pm EDT
National Harbor 3
  Workshop

Attendees (72)