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Causal Inference, Semiparametric Statistics & Machine Learning in the Age of Data Science

Columbia Public Health 1,644 3 years ago
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Eric J. Tchetgen Tchetgen, PhD, gives the keynote address for the Columbia Mailman School Centennial Distinguished Speakers Series February 3, 2022 event, "An (un)Holy Union: Causal Inference, Semiparametric Statistics & Machine Learning in the Age of Data Science." An (un)Holy Union: Causal Inference, Semiparametric Statistics & Machine Learning in the Age of Data Science Thursday, February 3, 2022 5:00 p.m.–6:00 p.m. Virtual Event Eric J. Tchetgen Tchetgen, PhD (Keynote Speaker) Luddy Family President’s Distinguished Professor Professor of Statistics and Data Science The Wharton School of the University of Pennsylvania Abstract: In this talk, I discuss recent advances at the nexus of Causal Inference, Semiparametric Statistics and Machine Learning in the gilded age of modern data science, with emphasis given to sound and responsible decision-making in Public Health and Medicine. I argue with several recent developments, that important scientific progress can be made more likely by fruitful interaction between these three disciplines than without; however, such success will require constant vigilance to ensure that key foundational principles underpinning each discipline are preserved and respected. For illustration, I consider the potential utility and limitations of several recent advances that are emblematic of this (un)holy union, including Conformal predictive causal inference, Double-debiased machine learning, Credence and the so-called Deconfounder. Panel: Kiros Berhane, PhD (Moderator) Cynthia and Robert Citron-Roslyn and Leslie Goldstein Professor, Biostatistics Chair, Biostatistics Columbia Mailman School of Public Health Daniel Malinsky, PhD (Panelist) Assistant Professor, Biostatistics Columbia Mailman School of Public Health Caleb Miles, PhD (Panelist) Assistant Professor, Biostatistics Columbia Mailman School of Public Health Kara Rudolph, PhD, MHS, MPH (Panelist) Assistant Professor, Epidemiology| Columbia Mailman School of Public Health Linda Valeri, PhD (Panelist) Assistant Professor, Biostatistics Columbia Mailman School of Public Health

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