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Monday, July 25 • 9:00am - 10:30am
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

Research Software Engineer, Stanford University
Malcolm Barrett is an epidemiologist and research software engineer at Stanford University. After receiving his Ph.D. in epidemiology from the University of Southern California, he worked as a data scientist at Apple and Posit. His work has focused on causal inference methodology... 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 →

Monday July 25, 2022 9:00am - 10:30am EDT
National Harbor 3
  Workshop

Attendees (151)