Name: 2019 Joint Statistical Meetings
Start: 2019-07-27T07:00:00+00:00
End: 2019-08-01
Location: Colorado Convention Center

Legend:
CC = Colorado Convention Center H = Hyatt Regency Denver at Colorado Convention Center
* = applied session ! = JSM meeting theme

Activity Details

		Tweet
167	Mon, 7/29/2019, 10:30 AM - 12:20 PM		CC-502
SPEED: Missing Data and Causal Inference Methods, Part 1 — Contributed Speed
Health Policy Statistics Section
Chair(s): Donna L. Coffman, Temple University
Poster Presentations for this session.
10:35 AM	Developing and Evaluating Methods to Impute Race/Ethnicity in an Incomplete Dataset Gabriella Silva, Brown University; Amal N. Trivedi, Brown University; Roee Gutman, Brown University
10:40 AM	Impact of Missing Data on Bias and Precision When Estimating Change in Patient-Reported Outcomes from a Clinical Registry Olawale Fatai Ayilara, University of Manitoba; Lixia Zhang, University of Manitoba; Tolulope T Sajobi, University of Calgary; Richard Sawatzky, School of Nursing, Trinity Western University; Eric Bohm, University of Manitoba; Lisa M Lix, University of Manitoba
10:45 AM	Comparison of Missing Data Imputation Methods in Longitudinal Study of ADRD Patients Yi Cao, Brown University; Roee Gutman, Brown University; Heather Allore, Yale University ; Brent Vander Wyk, Yale University
10:50 AM	Latent Class Analysis for Classification of Latent Policy Environments: a Case Study Bryan Blette, University of North Carolina at Chapel Hill; Leah Frerichs, University of North Carolina at Chapel Hill; Annie Green Howard, The University of North Carolina at Chapel Hill
10:55 AM	Measuring Hospital Acquired Infection Rates Under Incomplete Sampling Derek Sonderegger, Northern Arizona University
11:05 AM	Clustering of Longitudinal Trajectories with Multinomial EM Algorithm Based on State-Transition Templates John Rice, Colorado School of Public Health; Elizabeth Juarez-Colunga, University of Colorado Denver; James Feinstein, University of Colorado, Denver
11:10 AM	Bayesian Inference of Separable Covariance Models for Health Care Quality Measures Judith Law, Harvard Medical School; Laura A Hatfield, Harvard Medical School; Alan M. Zaslavsky, Harvard Medical School
11:15 AM	HIV Prevalence in Key Populations: a Semiparametric Bayesian Hierarchical Model for Scarce and Imbalanced Data Amy Zhang, Pennsylvania State University; Le Bao, Pennsylvania State University; Michael Daniels, University of Florida
11:20 AM	Using a Combination of Nearest Matching and Synthetic Control Methods in Causal Inference Study Zhiyiuan Dong
11:30 AM	Sensitivity to Unmeasured Confounders: Percutaneous Coronary Intervention (PCI) vs. Coronary Artery Bypass Grafting (CABG) in Patients with Stable Ischemic Heart Disease Lewei Duan, Kaiser Permanente
11:35 AM	Heterogeneous Treatment Effects with Subgroups via the Overlap Weights Elizabeth Lorenzi
11:40 AM	Generalizing Health Insurance Plan Effects on Medicaid Spending with Randomized and Observational Data Irina Degtiar, Harvard T.H. Chan School of Public Health; Francesca Dominici, Harvard T.H. Chan School of Public Health; Sherri Rose, Harvard Medical School
11:45 AM	The Impact of Covariance Priors on Arm-Based Bayesian Network Meta-Analyzes with Binary Outcomes Zhenxun Wang, University of Minnesota,; Lifeng Lin, Florida State University; JIM HODGES, UNIVERSITY OF MINNESOTA; Haitao Chu, University of Minnesota
11:50 AM	A Tutorial on Applying Propensity Score Methods for Characterization of Treatment Effects on Patient Outcomes Using a Medical Claims Database Ryan Ross, University of Michigan; Megan Caram, Institute for Health Policy and Innovation, University of Michigan Medical School; Paul Lin, Institute for Health Policy and Innovation, University of Michigan Medical School; Min Zhang, University of Michigan; Bhramar Mukherjee, University of Michigan
11:55 AM	Variable Selection in Causal Inference Tingting Zhou, University of Michigan School of Public Health; Michael Elliott, University of Michigan; Roderick J Little, University of Michigan School of Public Health
12:00 PM	True Trend or Just Pretend? Alternative Loss Functions to Reduce Overfitting in Synthetic Controls Alyssa Bilinski; Laura A Hatfield, Harvard Medical School
12:05 PM	Hospital Report Cards: Matched Design Versus Machine Learning Frank Yoon
12:10 PM	A Generalized Interrupted Time Series Model for Assessing Complex Health Care Interventions Maricela Cruz, University of California, Irvine; Daniel L. Gillen, University of California, Irvine; Hernando Ombao, King Abdullah University of Science and Technology (KAUST)
12:15 PM	Floor Discussion

JSM 2019 Online Program

Activity Details

American Statistical Association