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357 * !
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Thu, 8/12/2021,
12:00 PM -
1:50 PM
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Virtual
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Cross-Cutting Research in Causal Inference and Survival Analysis — Invited Papers
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Section on Statistics in Epidemiology, Lifetime Data Science Section, Biometrics Section
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Organizer(s): Usha Govindarajulu, Ichan School of Medicine at Mount Sinai
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Chair(s): Usha Govindarajulu, Ichan School of Medicine at Mount Sinai
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12:05 PM
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Bayesian machine learning for causal inference with multiple treatments and multilevel survival data
Liangyuan Hu, Icahn School of Medicine; Jiayi Ji, Icahn School of Medicine; Joseph Hogan, Brown University
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12:30 PM
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A Common Language Effect Size Derived from Marginalizing the Cox Model: Estimating Causal Effects from Observational Studies
Pablo Martinez Camblor, Geisel School of Medicine at Dartmouth
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12:55 PM
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Aiding Causal Inference Through Parameter Expansion of the Cox Model to Allow Effects to Vary with Follow-Up
James O'Malley, Dartmouth College; Todd MacKenzie, Dartmouth College; Pablo Martinez Camblor, Geisel School of Medicine at Dartmouth
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1:20 PM
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Discussant: Miguel Hernan, Harvard School of Public Heatlh
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1:40 PM
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Floor Discussion
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