Name: 2021 Joint Statistical Meetings
Start: 2021-08-08T07:00:00+00:00
End: 2021-08-12

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* = applied session ! = JSM meeting theme

268 * !	Wed, 8/11/2021, 1:30 PM - 3:20 PM	Virtual
Replicability and the Narrative of Scientific Research — Invited Papers
American Association for the Advancement of Science, Quantitative Communication Interest Group, Biometrics Section, Caucus for Women in Statistics
Organizer(s): Prasad Patil, Boston University School of Public Health
Chair(s): Prasad Patil, Boston University School of Public Health
1:35 PM	Transportability of Risk Prediction Models Jon Steingrimsson, Brown University; Constantine Gatsonis, Brown University; Issa Dahabreh, Brown University; Bing Li, Brown University; Samantha Morrison, Brown University
1:55 PM	Cross-Study Learning for Generalist and Specialist Predictions Boyu Ren, McLean Hospital; Prasad Patil, Boston University School of Public Health; Francesca Dominici, Harvard University; Giovanni Parmigiani, Harvard University; Lorenzo Trippa, Harvard University
2:15 PM	Replicability and Missing Data in Deep Learning and Clinical Prediction Naim Rashid, University of North Carolina At Chapel Hill, Dept of Biostatistics; David Lim, University of North Carolina At Chapel Hill, Dept of Biostatistics; Joseph G Ibrahim, UNC
2:35 PM	Improved Inference for Heterogeneous Treatment Effects Using Real-World Data Subject to Hidden Confounding Shu Yang, North Carolina State University
2:55 PM	Discussant: Elizabeth Tipton, Northwestern University
3:15 PM	Floor Discussion

422 !	Thu, 8/12/2021, 4:00 PM - 5:50 PM	Virtual
Recent Development of Machine Learning Methods in Causal Inference — Invited Papers
Section on Statistical Learning and Data Science, ENAR, American Association for the Advancement of Science
Organizer(s): Rui Song, North Carolina State University
Chair(s): Hongtu Zhu, University of North Carolina
4:05 PM	Nonparametric Inverse Probability Weighted Estimators Based on the Highly Adaptive Lasso Ashkan Ertefaie, University of Rochester; Nima Hejazi, University of California, Berkeley; Mark Van Der Laan, University of California
4:25 PM	Calibrated Optimal Decision-Making with Multiple Data Sources and Limited Outcome Hengrui Cai, North Carolina State University
4:45 PM	Estimating Heterogeneous Causal Effects of High-Dimensional Treatments: Application to Conjoint Analysis Max Goplerud, University of Pittsburgh; Kosuke Imai, Harvard University; Nicole E Pashley, Rutgers University
5:05 PM	Almost Matching Exactly Cynthia Rudin, Duke University; Alexander Volfovsky, Duke University; Sudeepa Roy, Duke University
5:25 PM	Discussant: Jelena Bradic, University of California, San Diego
5:45 PM	Floor Discussion

JSM 2021 Online Program