Name: 2020 Joint Statistical Meetings
Start: 2020-08-02T07:00:00+00:00
End: 2020-08-06

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* = applied session ! = JSM meeting theme

Activity Details

3 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Individualized Treatment Rules — Invited Papers
Biometrics Section, Social Statistics Section, Health Policy Statistics Section
Organizer(s): Michael Lingzhi Li, Massachusetts Institute of Technology
Chair(s): Kosuke Imai, Harvard University
10:05 AM	Synthetic Difference in Differences David Abraham Hirshberg, Stanford GSB; Dmitry Arkhangelsky, CEMFI Madrid; Susan Athey, Stanford University; Guido Imbens, Stanford GSB; Stefan Wager, Stanford University
10:30 AM	Improved Doubly Robust Estimation in Learning Optimal Individualized Treatment Rules Yinghao Pan, University of North Carolina at Charlotte ; Yingqi Zhao, Fred Hutchinson Cancer Research Center
10:55 AM	Experimental Evaluation of Individualized Treatment Rules Michael Lingzhi Li, Massachusetts Institute of Technology; Kosuke Imai, Harvard University
11:20 AM	Online Reinforcement Learning with Applications to Mobile Health Susan Murphy, Harvard University; Peng Liao, Harvard University; Sabina Tomkins, Stanford University; Predrag Klasnja, University of Michigan
11:45 AM	Floor Discussion

27 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Innovative Methods for Missing Data and Measurement Error in Health Research — Topic Contributed Papers
Health Policy Statistics Section, Section on Statistics in Epidemiology, Biometrics Section
Organizer(s): Jessica Roydhouse, Menzies Institute for Medical Research, University of Tasmania; Michelle Shardell, University of Maryland School of Medicine
Chair(s): Roee Gutman, Brown University
10:05 AM	Examination of Missingness, Differential Reporting and Dropout When Patients Know Their Treatment Assignment in RCTs Jessica Roydhouse, Menzies Institute for Medical Research, University of Tasmania
10:25 AM	Addressing Non-Ignorably Missing Proxy-Reported Exposure Data Michelle Shardell, Institute for Genome Sciences University of Maryland School of Medicine
10:45 AM	Multiple Imputation for Nonignorable Item Nonresponse in Complex Surveys Using Auxiliary Margins Presentation Olanrewaju Akande, Duke University; Jerry Reiter, Duke University
11:05 AM	Gamma Models for Estimating the Odds Ratio for a Skewed Biomarker Measured in Pools and Subject to Errors Dane Van Domelen, Emory University; Emily Mitchell, Agency for Healthcare Research and Quality (AHRQ); Neil Perkins, NICHD; Enrique Schisterman, NICHD; Amita Manatunga, Emory University; Eugene Huang, Emory University; Robert H. Lyles, Emory University
11:25 AM	Statistical Methods to Estimate Change in Incomplete Multivariate Ordinal Responses from Patient Reported Outcome Measures Olawale Fatai Ayilara, University of Manitoba; Tolulope T Sajobi, University of Calgary; Ruth Barclay, University of Manitoba; Mohammad Jafari Jozani, University of Manitoba; Lisa M Lix, University of Manitoba
11:45 AM	Floor Discussion

35 * !	Mon, 8/3/2020, 10:00 AM - 11:50 AM	Virtual
Imputing Race/Ethnicity to Understand Health Care Disparities Among Older Adults — Topic Contributed Papers
Social Statistics Section, Health Policy Statistics Section, Government Statistics Section
Organizer(s): Amelia M Haviland, Carnegie Mellon University
Chair(s): David Choi, Carnegie Mellon University
10:05 AM	The Contribution of First-Name Information to the Accuracy of Racial and Ethnic Imputations Varies by Gender, Race, and Ethnicity Amelia M Haviland, Carnegie Mellon University
10:25 AM	Socioeconomic Disparities in the Quality of Behavioral Health Care Joshua Breslau, RAND Corporation
10:45 AM	Implicit Bias and Black-White Disparities in Health Care Among Older Adults Madhumita Ghosh-Dastidar, RAND Corporation
11:05 AM	Voluntary Disenrollment from Health Plans Is Higher Among Racial and Ethnic Minorities Marc Elliott, RAND
11:25 AM	Discussant: John L Adams, Kaiser Permanente, Center for Effectiveness and Safety Research
11:45 AM	Floor Discussion

83	Mon, 8/3/2020, 10:00 AM - 2:00 PM	Virtual
Contributed Poster Presentations: Health Policy Statistics Section — Contributed Poster Presentations
Health Policy Statistics Section
1:	Analysis of the Effect of Drug Induced Homicide Prosecution Media Reports on Drug Overdose Deaths Kelly Kung, Boston University; Leo Beletsky, Northeastern University; Judith Lok, Boston University Department of Mathematics & Statistics; Natasha Martin, University of California San Diego
2:	Sparse Regression for Skewed and Semi-Continuous Response Xiaoqiang Wu, Florida State University; yiyuan she, Florida State University; Debajyoti Sinha, Florida State University
4:	The Impact of Restricting Antibiotic Use in Livestock Production Peter Hovey, University of Dayton; Mary Ellen Dillon, University Of Dayton
5:	An Integrated Approach to Osteoarthritis Condition Management: Linking Models of Social Determinants of Health, Geo-Spatial and Medical Data, and Consumer Insights Anna Auguste, Cigna; Arati Nair, Cigna; Robert Kramer, Cigna; Johanna Bell, Cigna
6:	Provider Profiling: Grouping Providers Treating Similar Populations of Patients Gabriella Silva, Brown University; Roee Gutman, Brown University; Amal Trivedi, Brown University
7:	Interventional Delivery for Hypertensive Disorders: A Causal Approach to Maternal and Infant Health Outcomes Jerson Cochancela, Brown University; Roee Gutman, Brown University
8:	Causal Inference with Cross-Temporal Design Yi Cao; Roee Gutman, Brown University
9:	Rasch Tree Bagging for the Detection of Differential Item Functioning James Roddy; Samantha Robinson, University of Arkansas
10:	Prediction of Intervention Effects in Healthcare Systems Emily Scott; Zhenke Wu, University of Michigan; Elizabeth Colantuoni, Johns Hopkins Bloomberg School of Public Health; Scott Zeger, Johns Hopkins Bloomberg School of Public Health
11:	Estimating Sampling Weights for Convenience Samples Using NHANES Olivia Bernstein, University of California, Irvine; Dan Gillen, University of California, Irvine
12:	Association Between Intimate Partner Violence and Undernutrition Among Ever Partnered Nepalese Women of Ages 15 to 49 Years Janet Nakarmi, University of Central Arkansas; Arun Chaudhary, Abiral Foundation

88	Mon, 8/3/2020, 12:00 PM - 1:00 PM	Virtual
Health Policy Statistics Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Health Policy Statistics Section
ML03:	Exploiting Natural Experiments in Health Policy Research Luke Keele, University of Pennsylvania

100 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Innovations for Drug Approval and Reimbursement for Rare Disease — Invited Papers
International Indian Statistical Association, Biopharmaceutical Section, Health Policy Statistics Section
Organizer(s): Amit Bhattacharyya, Alexion Pharmaceuticals
Chair(s): Amit Bhattacharyya, Alexion Pharmaceuticals
1:05 PM	On Analysis of Single Arm Trial with Natural History Controls Qing Liu, Quantitative and Regulatory Medical Science, LLC
1:25 PM	Challenges in Rare Disease Clinical Trials: The PREVENT Trial for NMOSD Fanny O'Brien, Alexion
1:45 PM	Predictive Models in Rare Diseases: Risks and Opportunities in Clinical Trials, with Examples in Amyotrophic Lateral Sclerosis (ALS) Alex Karanevich, EMB Statistical Solutions
2:05 PM	Innovative Designs and Rare Diseases: Bridging Information Through Evidence Synthesis Satrajit Roychoudhury, Pfizer Inc.
2:25 PM	Use Case Scenario: Indirect Comparisons to Enhance Reimbursement Negotiations in Rare Disease Jinesh Shah, CSL Behring
2:45 PM	Floor Discussion

108 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Can't Shake That Feeling That You're Missing Something? — Invited Papers
Health Policy Statistics Section, Section on Statistics in Epidemiology, Academy for Health Services Research and Health Policy
Organizer(s): Lane Burgette, RAND Corporation
Chair(s): Joseph Pane, RAND
1:05 PM	The E-Value: Sensitivity Analyses for Unmeasured Confounding in Studies and Meta-Analyses Maya Mathur, Stanford University
1:25 PM	Bootstrapping Sensitivity Analysis for Inverse Probability Weighting Estimators Qingyuan Zhao, University of Cambridge; Dylan Small, University of Pennsylvania; Bhaswar Bhattarcharya, University of Pennsylvania
1:45 PM	Efficient Sensitivity Analysis for Propensity Score Weighting Lane Burgette, RAND Corporation; Beth Ann Griffin, RAND; Joseph Pane, RAND; Daniel F McCaffrey, ETS
2:05 PM	The uniform general signed rank test and its design sensitivity Presentation Samuel Pimentel, University of California, Berkeley; Steven R. Howard, The Voleon Group
2:25 PM	Discussant: Beth Ann Griffin, RAND
2:45 PM	Floor Discussion

128 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Modeling for the Masses: Tackling Infectious Disease for the Public Good — Topic Contributed Papers
Biometrics Section, Health Policy Statistics Section, Statistics Without Borders
Organizer(s): Marie V Ozanne, Mount Holyoke College
Chair(s): Jacob J Oleson, University of Iowa, Department of Biostatistics
1:05 PM	Strategies for Modeling Dynamics of Emerging Epidemics Ali Arab, Georgetown University
1:25 PM	A Bayesian Latent Class Model for Identifying Canine Visceral Leishmaniasis in the Absence of a Gold Standard Marie V Ozanne, Mount Holyoke College
2:05 PM	Adaptively Stacked Ensembles for Influenza Forecasting with Incomplete Data Thomas McAndrew, University of Massachusetts; Nicholas G Reich, University of Massachusetts at Amherst
2:25 PM	Type-Specific Forecasts of Influenza-Like Illness Using Hierarchical Splines Evan Ray, Mount Holyoke College; Isabelle Beaudry, Pontificia Universidad Católica de Chile; Graham C Gibson, University of Massachusetts, Amherst; Nicholas G Reich, University of Massachusetts at Amherst
2:45 PM	Floor Discussion

130 * !	Mon, 8/3/2020, 1:00 PM - 2:50 PM	Virtual
Advances in Resource Allocation for Epidemic Control: Estimation, Optimization, and Counterfactuals — Topic Contributed Papers
Section on Statistics in Epidemiology, Health Policy Statistics Section, Section on Physical and Engineering Sciences
Organizer(s): Soheil Eshghi, Yale School of Public Health
Chair(s): David Kline, Ohio State University
1:05 PM	Testing Infection Graphs Justin Khim, Carnegie Mellon Univ
1:25 PM	The Cost of Uncertainty in Curing Epidemics Jessica Hoffmann, University of Texas At Austin
1:45 PM	Large-Scale Epidemic Control via Matrix Balancing Van Sy Mai, National Institute of Standards and Technology; Abdella Battou, National Institute of Standards and Technology
2:05 PM	Optimal Resource Allocation for Containment of Epidemics Jorge Francisco Barreras, University of Pennsylvania; Victor Miguel Preciado, University of Pennsylvania
2:25 PM	Dynamic Policy Counterfactuals: Evaluating Contact-Tracing in the EVD Outbreak in Liberia 2014-16 Soheil Eshghi, Yale School of Public Health; Forrest W. Crawford, Yale University
2:45 PM	Floor Discussion

142 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Fairness and Equity in Clinical Risk Prediction: Healthcare Data for the Public Good — Invited Papers
Biometrics Section, Health Policy Statistics Section, Section on Statistical Learning and Data Science, Lifetime Data Science Section
Organizer(s): Yates Coley, Kaiser Permanente Washington Health Research Institute
Chair(s): Maricela Cruz, Kaiser Permanente Washington Health Research Institute
10:05 AM	Assessing Racial and Ethnic Fairness of a Suicide Risk Prediction Model Yates Coley, Kaiser Permanente Washington Health Research Institute; Eric Johnson, Kaiser Permanente Washington Health Research Institute; Susan Shortreed, Kaiser Permanente Washington Health Research Institute
10:25 AM	Can Individualized Risk Calculators Reduce Racial/Ethnic Disparities in Cancer Screening Guidelines? Hormuzd Katki, US National Cancer Institute; Corey Young, Morehouse School of Medicine; Li Cheung, US National Cancer Institute; Rebecca Landy, US National Cancer Institute
10:45 AM	Detecting Undercompensated Groups in Plan Payment Risk Adjustment Presentation Anna Zink, Harvard University; Sherri Rose, Harvard Medical School
11:05 AM	Discussant: Kristian Lum, HRDAG
11:25 AM	Discussant: Ruth Pfeiffer, National Cancer Institute
11:45 AM	Floor Discussion

146 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Methods to Evaluate and Correct for Bias in Patient-Reported Outcomes in Clinical Trials: Advancing the Validity of Patient-Centric Drug Development — Invited Papers
Biopharmaceutical Section, Health Policy Statistics Section, Biometrics Section
Organizer(s): Joseph C. Cappelleri, Pfizer Inc.; Jessica Roydhouse, Menzies Institute for Medical Research, University of Tasmania
Chair(s): Demissie Alemayehu, Pfizer Inc.
10:05 AM	Addressing Bias in Responder Analyses of Patient-Reported Outcomes Presentation Joseph C. Cappelleri, Pfizer Inc.
10:30 AM	Evaluating the Effect of Interventions on Patient Function in Trials of Severely Ill Patients Presentation Elizabeth Colantuoni, Johns Hopkins Bloomberg School of Public Health; Daniel O Scharfstein, Johns Hopkins University; Ximin Li, Johns Hopkins University
10:55 AM	Assessing Open-Label Bias in Patient-Reported Outcomes in Cancer Trials Jonathon Vallejo, FDA
11:20 AM	Discussant: Jessica Roydhouse, Menzies Institute for Medical Research, University of Tasmania
11:45 AM	Floor Discussion

149 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Generating Data for the Public Good While Adhering to Confidentiality and Privacy Restrictions — Invited Papers
Health Policy Statistics Section, Government Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Roee Gutman, Brown University
Chair(s): Mingyang Shan, Eli Lilly and Company
10:05 AM	Challenges of Propagating Record Linkage Uncertainty into Subsequent Analyses Mauricio Sadinle, University of Washington
10:25 AM	A Bayesian Multi-Layered Record Linkage Procedure to Analyze Functional Status of Medicare Patients with Traumatic Brain Injury Mingyang Shan, Eli Lilly and Company; Kali Thomas, Brown University; Roee Gutman, Brown University
10:45 AM	A Simple Strategy for Detecting Biases from Linkage Failures When Merging Different Data Sources Presentation Joerg Drechsler, Institute for Employment Research; Johann Eppelsheimer, Institute for Employment Research; Joe Sakshaug, Institute for Employment Research
11:05 AM	Risk-Efficient Bayesian Data Synthesis for Privacy Protection Jingchen (Monika) Hu, Vassar College; Terrance Savitsky, Bureau of Labor Statistics; Matthew Williams, National Center for Science and Engineering Statistics, National Science Foundation
11:25 AM	Discussant: Ofer Harel, University of Connecticut
11:45 AM	Floor Discussion

153 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Utilization of Historical Data for Confirmatory Trials — Topic Contributed Papers
Biopharmaceutical Section, Health Policy Statistics Section, Society for Clinical Trials
Organizer(s): Freda Cooner, Amgen Inc.
Chair(s): Freda Cooner, Amgen Inc.
10:05 AM	Use of Historical Data in Regulatory Applications – Advantages and Challenges Shiowjen Lee, FDA/CBER/OBE/DB
10:25 AM	Statistical Considerations for Borrowing Historical Data in Small Populations Fanni Natanegara, Eli Lilly and Company
10:45 AM	Historical Data Borrowing with Informative Inferential Prior for Bayesian Hypothesis Testing Presentation Hui Quan, Sanofi; Bingzhi Zhang, Sanofi; Yu Lan, Sanofi; Xiaodong Luo, Sanofi; Xun Chen, Sanofi
11:05 AM	Improving Clinical Trial Efficiency Using Natural History Study Data and Innovative Trial Design Presentation Barbara Wendelberger, Berry Consultants, LLC; Melanie Quintana, Berry Consultants; Scott Berry, Berry Consultants
11:25 AM	Discussant: Haijun Ma, NeKtar Therapeutics
11:45 AM	Floor Discussion

164 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Leveraging Real-World Data in the Drug Development Process — Topic Contributed Papers
Biopharmaceutical Section, Biometrics Section, Health Policy Statistics Section
Organizer(s): Rebecca A Hubbard, University of Pennsylvania
Chair(s): Nandita Mitra, University of Pennsylvania
10:05 AM	Hybrid Controlled Trials with EHR-Derived Data for Cancer Trials: What, Why, When, and How Brian Segal, Flatiron Health; Melissa Curtis, Flatiron Health; Meghna Samant, Flatiron Health; Katherine Tan, Flatiron Health; Shrujal Baxi, Flatiron Health; Somnath Sarkar, Flatiron, Inc.
10:25 AM	Data-Adaptive Weighting of Real-World and Randomized Controls Using Propensity Scores Joanna Harton, University of Pennsylvania; Nandita Mitra, University of Pennsylvania; Rebecca A Hubbard, University of Pennsylvania
10:45 AM	Leveraging RWD and Historical Data in Design and Analysis of Clinical Trials Samson Ghebremariam, Novartis Pharmaceuticals; Lisa Hampson, Novartis Pharmaceuticals; Bharani Bharani-Dharan, Novartis Oncology; Amy Racine-Poon, Novartis Pharma AG; Beat Neuenschwander, Novartis pharmaceuticals
11:05 AM	Calibrated Survival Curve and Treatment Comparison with Imperfect Survival Outcomes from Electronic Health Records Chuan Hong, Harvard Medical School; Liang Liang, Harvard T. H. Chan School of Public Health; Tianxi Cai, Harvard University
11:25 AM	Discussant: Elizabeth Teeple, US Food and Drug Administration
11:45 AM	Floor Discussion

169 * !	Tue, 8/4/2020, 10:00 AM - 11:50 AM	Virtual
Estimating Heterogeneity in Treatment Effects in Complex Real World Settings — Topic Contributed Papers
Health Policy Statistics Section, Social Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Lyle Ungar, University of Pennsylvania
Chair(s): Lyle Ungar, University of Pennsylvania
10:05 AM	Estimating Optimal Treatment Rules with an Instrumental Variable: A Partial Identification Learning Approach Hongming Pu, University of Pennsylvania; Bo Zhang, Univ of Pennsylvania
10:25 AM	WITHDRAWN Personalizing Treatments for Habit Formation: Learning Optimal Treatment Rules from a Multi-Arm Experiment Rahul Ladhania
10:45 AM	WITHDRAWN The Value of Personalized Medicine: Treatment Effect Heterogeneity in the Treatment of Advanced Heart Failure Jeffrey Scott McCullough, University of Michigan; Sriram Somanchi, University of Notre Dame
11:05 AM	Floor Discussion

229	Tue, 8/4/2020, 12:00 PM - 1:00 PM	Virtual
Health Policy Statistics Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Health Policy Statistics Section
TL03:	Using EHR in Population Health: Generating Estimates with Incomplete Coverage Erin Tanenbaum, NORC at the University of Chicago

244 *	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Recent Advances in Causal Inference with Applications for the Public Good — Invited Papers
Section on Statistics in Epidemiology, Biometrics Section, Health Policy Statistics Section, Biopharmaceutical Section
Organizer(s): Fan Yang, University of Colorado Anschutz Medical Campus
Chair(s): Fan Yang, University of Colorado Anschutz Medical Campus
1:05 PM	Assessing Surrogate Paradox Risk in the Meta-Analytic Causal Association Framework Michael R Elliott, University of Michigan; Jeremy Taylor, University of Michigan; Yun Li, University of Pennsylvania Perelman School of Medicine & The Children’s Hospital of Philadelphia; Anna Conlon, University of Michigan; Nico Kaciroti, University of Michigan
1:30 PM	Tobacco Use Epidemic: Understanding Its Public Impact in the New Era Jing Cheng, University of California, San Francisco
1:55 PM	Experimental Evaluation of Computer-Assisted Human Decision Making: Application to Pretrial Risk Assessment Instrument Kosuke Imai, Harvard University; Zhichao Jiang, University of Massachusetts, Amherst; James Greiner, Harvard Law School; Ryan Halen, Harvard Law School; Sooahn Shin, Harvard University
2:20 PM	Causal Ball Screening: Outcome Model-Free Causal Inference with Ultra-High-Dimensional Covariates Dingke Tang, University of Science and Technology China; Dehan Kong, University of Toronto; Wenliang Pan, Sun Yat-Sen University; Linbo Wang, University of Toronto
2:45 PM	Floor Discussion

267 !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Using Multiple Sources of Data to Assess and Improve Data Quality — Topic Contributed Papers
Government Statistics Section, Health Policy Statistics Section, Survey Research Methods Section
Organizer(s): Jennifer D Parker, NCHS
Chair(s): Jennifer D Parker, NCHS
1:05 PM	Using Surveys and Administrative Data to Assess the Quality of Linked Data: National Center for Health Statistics’ Data Linkage Program Presentation Cordell Golden, National Center for Health Statistics (NCHS/CDC); Lisa B Mirel, National Center Health Statistics (NCHS/CDC)
1:25 PM	Assessing National Hospital Care Survey and National Ambulatory Medical Care Survey Data: A Comparison of Opioid and Respiratory Disease Encounters Geoffrey Jackson, National Center for Health Statistics; Carol DeFrances, National Center for Health Statistics; Jill Ashman, National Center for Health Statistics
1:45 PM	Using External Sources for Evaluating and Mitigating Nonresponse Bias and Sampling Variability Tala Fakhouri, National Center for Health Statistics; Crescent Martin, National Center for Health Statistics ; Te-Ching Chen, CDC/NCHS; Jay Clark, Westat; Minsun Riddles, Westat; Joseph Afful, Peraton; Leyla Mohadjer, Westat
2:05 PM	Propensity Score Adjusted Estimation of National Health Outcomes from Web Panels Katherine Irimata, National Center for Health Statistics
2:25 PM	Discussant: Kennon Copeland, NORC
2:45 PM	Floor Discussion

272 * !	Tue, 8/4/2020, 1:00 PM - 2:50 PM	Virtual
Statistical Innovations in Regulatory Science — Topic Contributed Papers
Biometrics Section, Biopharmaceutical Section, Health Policy Statistics Section
Organizer(s): Alejandra Avalos Pacheco, Harvard Medical School
Chair(s): Andrea Arfe, Harvard Medical School
1:05 PM	The Impact of Early Trials in Drug Development in Oncology: Design and Interpretation Alexia Iasonos, Memorial Sloan-Kettering Cancer Center
1:25 PM	A Semi-Mechanistic Dose-Finding Design in Oncology Using Pharmacokinetic/Pharmacodynamic Modeling Yisheng Li, University of Texas-MD Anderson Cancer Center; Xiao Su, PlayStation; Peter Müller, University of Texas Austin; Kim-Anh Do, The University of Texas MD Anderson Cancer Center
1:45 PM	Inference in response-adaptive clinical trials when the enrolled population varies over time Massimiliano Russo, Harvard Medical School; Lorenzo Trippa, Harvard School of Public Health; Steffen Ventz, Harvard School of Public Health; Victoria Wang, Harvard School of Public Health
2:05 PM	Leveraging External Data in Bayesian Adaptive Designs Alejandra Avalos Pacheco, Harvard Medical School; Steffen Ventz, Harvard School of Public Health; Lorenzo Trippa, Harvard School of Public Health; Brian Alexander, Foundation medicine; Andrea Arfe, Harvard Medical School
2:25 PM	Discussant: Lorenzo Trippa, Harvard School of Public Health
2:45 PM	Floor Discussion

304 * !	Wed, 8/5/2020, 10:00 AM - 11:50 AM	Virtual
Extrapolation as a Default Strategy in Pediatric Drug Development: Implications to Clinical Trial Designs and Statistical Analysis — Topic Contributed Papers
Biopharmaceutical Section, Health Policy Statistics Section, Biometrics Section
Organizer(s): Margaret Gamalo, Eli Lilly & Co
Chair(s): Junjing Lin, Takeda
10:05 AM	Clinical Development Using Pediatric Extrapolation Presentation Robert "Skip" Nelson, J7J
10:25 AM	Real World Evidence Utilization in Pediatric Clinical Development Reflected by US Product Labeling: Statistical Review Yodit Seifu; Freda Cooner, Amgen Inc.; Margaret Gamalo-Siebers, Eli Lilly & Co; Junjing Lin, Takeda; Junshan Qiu, FDA/CDER; Shiling Ruan, Novartis; Ros Walley, UCB Celltech ; Sophie Barthel, PRA Health Sciences
10:45 AM	Hierarchical Models for Clinical Trials Involving Multiple Pediatric Cohorts Margaret Gamalo-Siebers, Eli Lilly & Co
11:05 AM	A Quantitative Method to Evaluate Exposure-Response Similarity Between Pediatrics and Adults to Support Efficacy Extrapolation Junshan Qiu, FDA/CDER; Margaret Gamalo-Siebers, Eli Lilly & Co; Freda Cooner, Amgen Inc.; Junjing Lin, Takeda; Yodit Seifu; Yaning Wang, FDA/CDER/DPM
11:25 AM	Bayesian Analysis in Pediatric Settings Presentation Mark Rothmann, Division of Biometrics II, Office of Biostatistics, OTS, CDER, FDA
11:45 AM	Floor Discussion

322	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Novel Statistical Methods for Current Health Policy Issues — Contributed Papers
Health Policy Statistics Section
Chair(s): James O'Malley, Dartmouth
	Predictive Model for Avoidable Hospitalization Event Presentation Fei Han, The Hilltop Institute at UMBC; Ian Stockwell, The Hilltop Institute at UMBC; Morgan Henderson, The Hilltop Institute at UMBC
	Change Point Analysis on Affordable Care Act Through Emergency Department Visits Mena Whalen, Northwestern Statistics; Joseph M Feinglass, Northwestern Preventive Medicine ; Noelle Samia, Northwestern University
	A Comparison of Statistical Methodologies in Benchmarking Healthcare Quality Dashboards Ling Zheng, Keck Medical Center of USC
	Hospital-Specific Template Matching for Benchmarking Performance in the Veterans Affairs Health System Brenda Vincent; Andrew Ryan, University of Michigan; Hallie Prescott, University of Michigan
	Simulation-Based Power and Sample Size Calculation for Designing Interrupted Time Series Analyses of Count Outcomes in Evaluation of Health Policy Interventions Presentation Shangyuan Ye
	Characterizing Managing Physicians by Claims Sequences in Episodes of Care Lauren Staples, Kennesaw State University; Joe DeMaio, Kennesaw State University; Herman Ray, Kennesaw State University
	Using Geographically Weighted Linear Regression for County-Level Breast Cancer Modeling in the United States Presentation Srikanta Banerjee, Walden University; Matt Jones, Northwest Emergent Solutions
	The Socioeconomic Impact of Marijuana Legalization in the United States Using Generalized Synthetic Controls Elina Choi, University of Wisconsin-Madison; Hyunseung Kang, University of Wisconsin-Madison

323	Wed, 8/5/2020, 10:00 AM - 2:00 PM	Virtual
Estimating Treatment Effects: Applications in Health Policy — Contributed Papers
Health Policy Statistics Section
Chair(s): Jessica Lavery, Memorial Sloan Kettering Cancer Center
	A Variance Shrinkage Method Improves the Arm-Based Bayesian Network Meta-Analysis Zhenxun Wang, Division of Biostatistics, University of Minnesota; Lifeng Lin, Florida State University; James S. Hodges, Division of Biostatistics, University of Minnesota; Richard MacLehose, Division of Epidemiology and Community Health, University of Minnesota; Haitao CHU, the University of Minnesota Twin Cities
	Stepped Wedge Designs for Two Treatments: Power Analysis and Considerations Phillip Sundin, University of California, Los Angeles; Catherine Crespi, UCLA Department of Biostatistics, Jonsson Comprehensive Cancer Center
	An Approach to the Analysis of Composite Endpoints with No Prioritized Components Presentation Abdullah Masud, AbbVie; John Schoenfelder, AbbVie
	Buttressing: A Multiple Imputation Framework to Incorporate Background Covariate Data with Sampled Outcomes for Precision Gains Thomas R. Belin, UCLA; Jay Xu, UCLA
	Spatial Effects in Doubly-Robust Difference in Difference Designs John Poe, University of Michigan; J. Tom Mueller, The Pennsylvania State University
	Quality Measurement as Causal Inference, and Implications for Adjustment Alan Zaslavsky, Harvard University
	Safety and Effectiveness of Direct Oral Anticoagulants in Patients with Bioprosthetic Heart Valves and Atrial Fibrillation Lewei Duan, Kaiser Permanente Southern California; Mingsum Lee, Kaiser Permanente
	Estimating Causal Effects in Observational Studies: A Comparison of the Use of Boosting for Modeling the Assignment Mechanism, the Response Surface, or Both Daniela Golinelli, Mathematica; Greg Ridgeway, University of Pennsylvania

369	Wed, 8/5/2020, 12:00 PM - 1:00 PM	Virtual
Health Policy Statistics Section Lunchtime Speaker — Roundtables Speaker with Lunch
Health Policy Statistics Section
Chair(s): Hui Xie, University of Illinois
12:05 PM	Modern Benchmarking and the Search for Unusual Hospitals, Communities, and Cops Greg Ridgeway, University of Pennsylvania

371	Wed, 8/5/2020, 12:00 PM - 1:00 PM	Virtual
Health Policy Statistics Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Health Policy Statistics Section
WL03:	Career Opportunities for Statisticians and Data Scientists in Contract Research; a Dialogue Aimed at Students and Those Transitioning from Other Areas Jason Brinkley, Abt Associates; Susan Paddock, NORC at University of Chicago

395 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
The Need for Interpretable and Fair Algorithms in Health Policy — Invited Panel
Health Policy Statistics Section, Biometrics Section, Section on Statistical Learning and Data Science, Section on Statistical Computing
Organizer(s): Sherri Rose, Harvard Medical School
Chair(s): Laura Hatfield, Harvard Medical School
1:05 PM	The Need for Interpretable and Fair Algorithms in Health Care and Policy Presentation
Panelists:	Marzyeh Ghassemi, University of Toronto Melody Goodman, NYU Sherri Rose, Harvard Medical School Julius Adebayo, MIT
2:40 PM	Floor Discussion

399 * !	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Recent Developments in Precision Medicine — Topic Contributed Papers
Biopharmaceutical Section, Health Policy Statistics Section, Biometrics Section
Organizer(s): Xinyi Li, SAMSI / University of North Carolina at Chapel Hill
Chair(s): David Banks, Duke University / SAMSI
1:05 PM	Individualized Treatment Regimes Incorporating Imaging Features Xinyi Li, SAMSI / University of North Carolina at Chapel Hill; Michael R. Kosorok, University of North Carolina at Chapel Hill
1:25 PM	Precision Medicine Using a Joint Longitudinal-Survival Model Elizabeth Slate, Florida State University; Yuxi Zhao, Florida State University
1:45 PM	Personalized Monitoring Is Good for Patients and Clinical Science Glen Wright Colopy, Cenduit LLC
2:05 PM	Bayesian Pharmacokinetic Models for Dose Personalization Daniel Lizotte, University of Western Ontario; Demetri Pananos, University of Western Ontario
2:25 PM	Discussant: Marie Davidian, North Carolina State University
2:45 PM	Floor Discussion

408 *	Wed, 8/5/2020, 1:00 PM - 2:50 PM	Virtual
Health Policy Statistics Student Paper Awards: — Topic Contributed Papers
Health Policy Statistics Section
Organizer(s): Lisa M Lix, University of Manitoba
Chair(s): Hui Xie, University of Illinois
1:05 PM	Latent-State Models for Precision Medicine Zekun Xu, North Carolina State University; Eric B. Laber, North Carolina State University; Ana Maria Staicu, North Carolina State University
1:25 PM	Estimating the Optimal Timing of Surgery from Observational Data Xiaofei Chen, SMU/UTSW; Daniel Heitjan, SMU/UTSW; Haekyung Jeon-Slaughter , UTSW; Gerald Greil, UTSW
1:45 PM	A Shared-Parameter Location-Scale Growth Model to Link Non-Ignorable Nonresponses in the Self-Initiated Event-Contingent EMA Assessments to Subject’s Mood Change and Mood Stability Qianheng Ma, University of Chicago; Robin J Mermelstein, University of Illinois at Chicago; Donald Hedeker, The University of Chicago
2:05 PM	Non-Inferiority Clinical Trials: Treating Margin as Missing Information Yulia Sidi, University of Connecticut; Ofer Harel, University of Connecticut
2:25 PM	Nothing to See Here? Non-Inferiority Approaches to Parallel Trends and Other Model Assumptions Alyssa Bilinski; Laura Hatfield, Harvard Medical School
2:45 PM	Floor Discussion

428 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Recent Advances in Statistical Methods for Healthcare Provider Profiling — Invited Papers
ENAR, Health Policy Statistics Section, Biometrics Section
Organizer(s): Kevin He, University of Michigan
Chair(s): Jian Kang, University of Michigan
10:05 AM	Indirect and Direct Standardization of Medical Provider Mortality Ratios John Kalbfleisch, University of Michigan; Kevin He, University of Michigan; Sehee Kim, University of Michigan; xuemei Ding, University of Michigan
10:30 AM	Improving the Identification of Extreme Clusters Using Multilevel Data John Neuhaus, University of California, San Francisco; Charles McCulloch, University of California, San Francisco
10:55 AM	Profiling Dialysis Facilities for Adverse Recurrent Events Damla Senturk, UCLA; Danh Nguyen, UC Irvine; Jason Estes, Google
11:20 AM	Statistical Considerations in Profiling Low-Volume Providers Katherine Panageas, Memorial Sloan Kettering Cancer Center; Jessica Lavery, Memorial Sloan Kettering Cancer Center; Bach Peter, Memorial Sloan Kettering Cancer Center; Allison Lipitz-Snyderman, Memorial Sloan Kettering Cancer Center
11:45 AM	Floor Discussion

429 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Strategic Statistical Partnerships Impacting Health and Education for the Public Good — Invited Papers
Stats. Partnerships Among Academe Indust. & Govt. Committee, Health Policy Statistics Section, Section on Statistical Learning and Data Science
Organizer(s): Ying Ding, University of Pittsburgh; Pamela McGovern, USDA National Agricultural Statistics Service; Fanni Natanegara, Eli Lilly and Company
Chair(s): Jungwha Julia Lee, Northwestern University
10:05 AM	Public-Private Collaborations Aiming to Improve the Reliability and Consistency of Clinical Tests to Guide Cancer Care Lisa Meier McShane, National Cancer Institute
10:25 AM	Furthering Public Health Through the Fred Hutchinson Cancer Research Center/Sanofi Pasteur Dengue Vaccine Collaboration Zoe Moodie, Fred Hutchinson Cancer Research Center; Peter Gilbert, Fred Hutchinson Cancer Research Center; Michal Juraska, Fred Hutchinson Cancer Research Center; Ying Huang, Fred Hutchinson Cancer Research Center; Youyi Fong, Fred Hutchinson Cancer Research Center; Brenda Price, University of Washington; Carlos DiazGranados, Sanofi Pasteur; Stephen Savarino, Sanofi Pasteur; Saranya Sridhar, Sanofi Pasteur; Edith Langevin, Sanofi Pasteur; Tifany Machabert, Sanofi Pasteur; Ming Zhu, Sanofi Pasteur
10:45 AM	An Academic and Industry Partnership Training the Next Generation of Data Scientists Presentation Amy Wagaman, Amherst College; Nicholas Horton, Amherst College
11:05 AM	Engaging Industry and Academia to Drive Meaningful Social Impact Christine Pfeil, MassMutual; Sears Merritt, MassMutual
11:25 AM	Discussant: Sally Morton, Virginia Tech
11:45 AM	Floor Discussion

432 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Withdrawn - Case Studies in Bayesian Methods for Health Policy Research — Invited Papers
Health Policy Statistics Section, Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA)
Organizer(s): Mariel M Finucane, Mathematica
11:45 AM	Floor Discussion

439 * !	Thu, 8/6/2020, 10:00 AM - 11:50 AM	Virtual
Role of External Evidence in Drug Development: Current Practices and Future Perspectives — Topic Contributed Papers
Biopharmaceutical Section, Section on Bayesian Statistical Science, Health Policy Statistics Section
Organizer(s): Satrajit Roychoudhury, Pfizer Inc.
Chair(s): Satrajit Roychoudhury, Pfizer Inc.
10:05 AM	Bayesian Approaches for Using Real-World Evidence for Regulatory Decision Making Gary L Rosner, Johns Hopkins University; Chenguang Wang, Johns Hopkins University
10:25 AM	Statistical Innovation in Rare Disease Clinical Development Kannan Natarajan, Pfizer Pharmaceuticals Inc.
10:45 AM	Dynamic Borrowing of Historical Data Using the Power Prior: Overview and New Developments Joost van Rosmalen, Erasmus MC
11:05 AM	Use of External Evidence for Decision Making in Early Phase Trials Maxine Bennett, AstraZeneca
11:25 AM	Floor Discussion

511	Thu, 8/6/2020, 12:00 PM - 1:00 PM	Virtual
Health Policy Statistics Section P.M. Roundtable Discussion — Roundtables PM Roundtable Discussion
Health Policy Statistics Section
RL04:	Harnessing Population-Based Electronic Healthcare Records to Construct Family Health Histories Lisa M Lix, University of Manitoba

525 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Translating Real-World Data into Real-World Evidence for Regulatory Decisions and Medical Practice: Opportunities and Challenges — Invited Papers
Biopharmaceutical Section, Biometrics Section, Health Policy Statistics Section
Organizer(s): Weili He, AbbVie
Chair(s): Hongwei Wang, AbbVie
1:05 PM	The Biostatistical Landscape of Regulations, Data Sources, Study Variables, and Estimands for Real-World Evidence Mark Steven Levenson, FDA/CDER
1:30 PM	The Biostatistical Landscape of RWE Study Design and Analysis Weili He, AbbVie
1:55 PM	The Biostatistical Landscape of Causal Inference Frameworks of Clinical Studies using RWD/RWE Presentation Martin Ho, FDA-CBER
2:20 PM	Discussant: Frank Rockhold, Duke
2:45 PM	Floor Discussion

545	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Machine Learning and Nonparametric Methods in Causal Inference — Topic Contributed Papers
Section on Statistics in Epidemiology, Biometrics Section, Health Policy Statistics Section
Organizer(s): Ted Westling, University of Massachusetts Amherst
Chair(s): Marco Carone, Department of Biostatistics, University of Washington
1:05 PM	Efficient Estimation of Stochastic Intervention Effects in Causal Mediation Analysis Nima Hejazi, UC Berkeley; Iván Díaz, Weill Cornell Medicine; Mark Van der Laan, University of California, Berkeley
1:25 PM	Far from MCAR: Obtaining Population-Level Estimates of HIV Viral Suppression Laura B. Balzer, UMass Amherst; SEARCH Collaboration, Makerere University - UC San Francisco
1:45 PM	Nonparametric Tests of the Causal Null with Non-Discrete Exposures Ted Westling, University of Massachusetts Amherst
2:05 PM	Sensitivity Analysis via the Proportion of Unmeasured Confounding Matteo Bonvini, Carnegie Mellon University; Edward Kennedy, Carnegie Mellon University
2:25 PM	Two-Stage Super Learner for Predicting Healthcare Expenditures Ziyue Wu, Emory University; David Benkeser, Emory University; Seth Berkowitz, The University of North Carolina at Chapel Hill
2:45 PM	Floor Discussion

550 * !	Thu, 8/6/2020, 1:00 PM - 2:50 PM	Virtual
Looking for a Nail to Hammer? Come Find Data Sets from the Largest Clinical Trials Groups — Topic Contributed Panel
Health Policy Statistics Section, Biopharmaceutical Section, Statistics Without Borders
Organizer(s): Yunda Huang, Fred Hutchinson Cancer Research Center
Chair(s): Chris Barker, Statistical Planning and Analysis Services, Inc.
1:05 PM	Looking for a Nail to Hammer? Come Find Data Sets from the Largest Clinical Trials Groups Presentation
Panelists:	Yunda Huang, Fred Hutchinson Cancer Research Center Nick Williams, National Library of Medicine Michael LeBlanc, Fred Hutchinson Cancer Research Center Garnet Anderson , Fred Hutchinson Cancer Research Center
2:40 PM	Floor Discussion

556 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Causal Inference for Complex Data Challenges — Invited Papers
SSC (Statistical Society of Canada), Health Policy Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Dehan Kong, University of Toronto
Chair(s): Linbo Wang, University of Toronto
3:05 PM	Weighting Methods to Account for Covariate-Informed Monitoring Times Erica E M Moodie, McGill University; Janie Coulombe, McGill University; Robert Platt, McGill University
3:30 PM	Bayesian Approaches to Causal Inference: Some Comments on the Present Position and the Path Ahead Paul Gustafson, University of British Columbia
3:55 PM	Causal Inference at Large Scale Ride-Hailing Two Sided Platforms SHIKAI LUO, Didi Chuxing
4:20 PM	A Model for Effect Modification Using Targeted Learning with Observational Data Arising from Multiple Studies Mireille Schnitzer, Université de Montréal; Yan Liu, McGill University; Dick Menzies, McGill University Health Centre; Edward Kennedy, Carnegie Mellon University; Andrea Benedetti, McGill University
4:45 PM	Floor Discussion

563 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Statistical Methods for State Health Policy Evaluation — Invited Papers
Health Policy Statistics Section, Mental Health Statistics Section, Section on Statistics in Epidemiology
Organizer(s): Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
Chair(s): Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
3:05 PM	Evaluating Methods to Estimate the Effect of State Laws on Opioid-Related Outcomes in the Presence of Selection Bias Beth Ann Griffin, RAND
3:30 PM	Partial Identification in Difference-In-Difference Designs When the Parallel Trends Assumption Fails Raiden Hasegawa, Google; Dylan Small, University of Pennsylvania; Luke Keele, University of Pennsylvania; Daniel Webster, Bloomberg School of Public Health, Johns Hopkins University
3:55 PM	Synthetic Controls and Weighted Event Studies with Staggered Adoption Avi Feller, UC Berkeley; Eli Ben-Michael, UC Berkeley; Jesse Rothstein, UC Berkeley
3:20 PM	Discussant: Laura Hatfield, Harvard Medical School
3:45 PM	Floor Discussion

570 * !	Thu, 8/6/2020, 3:00 PM - 4:50 PM	Virtual
Addressing the Unique Analytic Challenges of Drug Development in Rare Diseases with the Use of Innovative Designs and Real World Evidence in Clinical Trials — Topic Contributed Papers
ENAR, Health Policy Statistics Section, International Chinese Statistical Association
Organizer(s): Junjing Lin , AbbVie
Chair(s): Margaret Gamalo-Siebers, Eli Lilly & Co
3:05 PM	Case Studies of Clinical Trials in Rare Diseases with Innovative Designs Utilizing Historical Data Bingzhi Zhang, Sanofi
3:25 PM	On Randomized Delayed-Start Design with Integrated Analysis of Efficacy for Drug Development in Rare Diseases Qing Liu, Quantitative and Regulatory Medical Science, LLC; Fred Holdbrook, Amicus Therapeutics, Inc.
3:45 PM	Statistical Issues in Trials for Rare Diseases Using Innovative Design and Real-World Evidence – Regulatory Experiences Aloka Chakravarty, Office of Biostatistics in CDER, FDA
4:05 PM	Clinical Data Augmentation Strategy via Propensity-Score-Based Bayesian Analysis Junjing Lin, Takeda; Margaret Gamalo-Siebers, Eli Lilly & Co; Ram Tiwari, FDA
4:25 PM	Use of historical controls to assess emerging interventions in cystic fibrosis: a comparison of methods and a look forward Presentation Amalia Magaret, University of Washington
4:45 PM	Floor Discussion

JSM 2020 Online Program

Activity Details

American Statistical Association