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

Activity Details

259 Mon, 7/29/2019, 3:05 PM - 3:50 PM CC-Hall C
SPEED: Missing Data and Causal Inference Methods, Part 2 — Contributed Poster Presentations
Health Policy Statistics Section
Chair(s): Donna L. Coffman, Temple University
Oral Presentations for this session.
1: 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
2: 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
3: Using a Combination of Nearest Matching and Synthetic Control Methods in Causal Inference Study
Zhiyiuan Dong
4: 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
5: Heterogeneous Treatment Effects with Subgroups via the Overlap Weights
Elizabeth Lorenzi
6: 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
7: 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
8: 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
9: 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
10: True Trend or Just Pretend? Alternative Loss Functions to Reduce Overfitting in Synthetic Controls
Alyssa Bilinski; Laura A Hatfield, Harvard Medical School
11: Hospital Report Cards: Matched Design Versus Machine Learning
Frank Yoon
12: 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
13: 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)
14: 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
15: 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
16: Measuring Hospital Acquired Infection Rates Under Incomplete Sampling
Derek Sonderegger, Northern Arizona University
17: WITHDRAWN: Developing a Generalizable Algorithm for Classifying COPD Using Electronic Health Record Data: Combining Expert Medical Curation and Surrogate-Assisted Feature Extraction
Su Chu, Harvard Medical School; Jessica Lasky-Su, Brigham and Women's Hospital and Harvard Medical School; Michael Cho, Brigham and Women's Hospital and Harvard Medical School; Emily Wan, Brigham and Women's Hospital and Harvard Medical School; Scott Weiss, Brigham and Women's Hospital and Harvard Medical School; Elizabeth Karlson, Brigham and Women's Hospital and Harvard Medical School
18: 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
19: 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