Keyword Search
Legend:
CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: matching returned 36 record(s)
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Sunday, 07/30/2017
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Matched Learning (M-Learning) for Estimating Optimal Individualized Treatment Rules
Peng Wu, Columbia University; Yuanjia Wang , Columbia University
2:05 PM
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Techniques for Matched Randomization in Sequential Enrollment Trials
Jonathan J Chipman, Vanderbilt University; Cole Beck, Vanderbilt University; Robert A Greevy, Jr, Vanderbilt University
2:05 PM
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Supplementing Record Linkage with Statistical Matching for Non-Consent Bias Reduction
Jonathan Gessendorfer, Institute for Employment Research; Jonas Beste, Institut für Arbeitsmarkt- und Berufsforschung; Jörg Drechsler, Institute for Employment Research; Joseph Sakshaug, The University of Manchester
2:20 PM
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Statistical Analysis with Linked Data
Ying Han, University of Maryland, College Park; Partha Lahiri, University of Maryland, College Park
2:35 PM
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Investigating Multiple Imputation in Cluster Randomized Trials
Brittney Bailey, The Ohio State University; Rebecca Andridge, Ohio State University; Abigail Shoben, The Ohio State University
2:35 PM
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Matching Estimators for Causal Effects of Multiple Treatments
Anthony Scotina, Brown University; Roee Gutman, Brown University
4:35 PM
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Frequency Matched Case-Control Data Analysis: Unconditional or Conditional Logistic Regression?
Chia-Ling Kuo, UCONN Health; Yinghui Duan, UCONN Health
5:05 PM
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Monday, 07/31/2017
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Sequential Graph Matching and Streaming Sequential Monte Carlo
Seong-Hwan Jun
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Quantifying the Causal Effects of Conservative Fourth Down Decision Making in the National Football League
Derrick Yam, Skidmore College; Michael J. Lopez, Skidmore College
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Methodologies for Clinical Trials Using Historical Control
Yeh-Fong Chen, US Food and Drug Administration
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Processing Changes to the Current Population Survey Annual Social and Economic Supplement
Jonathan Rothbaum, U.S. Census Bureau
10:35 AM
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Quantifying the Causal Effects of Conservative Fourth Down Decision Making in the National Football League
Derrick Yam, Skidmore College; Michael J. Lopez, Skidmore College
10:55 AM
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Methodologies for Clinical Trials Using Historical Control
Yeh-Fong Chen, US Food and Drug Administration
10:55 AM
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Error Variance Estimation in Linking Educational Survey Test Results Through Population Ability Distribution Matching
Xueli Xu, Educational Testing Service - Princeton, NJ; John Donoghue, ETS
2:25 PM
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Tuesday, 08/01/2017
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Optimal Tradeoffs in Matched Designs for Observational Studies
Samuel Pimentel, Wharton; Rachel R. Kelz, University of Pennsylvania
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Subgroup Analyzes with Survival Data in Retrospective Cohort Studies
Rima Izem, Food and Drug Administration; Jiemin Lao, Sphere Institute; Mao Hu, Acumen LLC; Yuqin Wei, Sphere Institute; Michael Wernecke, Acumen LLC; Jeffrey A Kelman, Centers for Medicaid and Medicare Services (CMS); David J Graham, Food and Drug Administration
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Estimating the Effect of a Time-Dependent State Change on Correlated Recurrent and Terminal Events
Douglas Earl Schaubel, University of Michigan ; Abigail R. Smith, Arbor Research Collaborative for Health
8:55 AM
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When Should We Use Linear Fixed Effects Regression Models for Causal Inference with Longitudinal Data?
Kosuke Imai, Princeton University; In Song Kim, MIT
9:00 AM
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Optimal Tradeoffs in Matched Designs for Observational Studies
Samuel Pimentel, Wharton; Rachel R. Kelz, University of Pennsylvania
9:15 AM
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Recovering Causal Effects from an Experimental Benchmark Using Multilevel Matching
Luke Keele, Georgetown University; Samuel Pimentel, Wharton
9:25 AM
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"Methodological Challenges for Handling Unmeasured Confounders in Causal Inference with Social Science Data
Reagan M Rose, Harvard University; Luke Miratrix, Harvard University; Aaron Kaufman, Harvard University; Jason Anastasopoulos, University of Georgia
9:50 AM
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Subgroup Analyzes with Survival Data in Retrospective Cohort Studies
Rima Izem, Food and Drug Administration; Jiemin Lao, Sphere Institute; Mao Hu, Acumen LLC; Yuqin Wei, Sphere Institute; Michael Wernecke, Acumen LLC; Jeffrey A Kelman, Centers for Medicaid and Medicare Services (CMS); David J Graham, Food and Drug Administration
10:50 AM
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Propensity-Score-Based Priors for Bayesian Augmented Control Design
Junjing Lin, AbbVie ; Margaret Gamalo-Siebers, Eli Lilly; Ram Tiwari, FDA/CDER/OT/OB
11:15 AM
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Analysis of Clustered Complex Design Data: Propensity Score Matching
Mi-Ok Kim, UCSF
11:25 AM
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Machine Learning Methods to Improve Causal Inference
Elizabeth Stuart, Johns Hopkins University
2:05 PM
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A Cross-Disciplinary Review of Record Linkage Methodologies
Jana L Asher, AABB
2:05 PM
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File linking with faulty matching information
Nicole Dalzell, Wake Forest University; Jerry Reiter, Department of Statistical Science, Duke University; Gale Boyd, Duke University
2:45 PM
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A Bayesian Approach to Misclassified Binary Response: Female Employment and Intimate Partner Violence in Urban India
Joon Jin Song, Baylor University; Yoo-Mi Chin, Baylor University; James Stamey, Baylor University
3:20 PM
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Wednesday, 08/02/2017
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Comparing Quality of Care Across Hospitals: Template Matching Versus Conventional Approaches
Brenda Vincent, VA Center for Clinical Management Research; Hallie Prescott, VA Center for Clinical Management Research
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Challenges and Opportunities with Immigration Data
Jiashen You, U.S. Department of Homeland Security
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Double Robust Matching Estimators for High-Dimensional Confounding Adjustment
Joseph Antonelli; Matthew Cefalu, RAND Corporation; Nathan Palmer, Harvard Medical School; Denis Agniel, RAND Corporation
2:05 PM
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Multiple Imputation in Data Fusion: Making Better Assumptions Than Conditional Independence
Volker Bosch, GfK SE; Philipp Gaffert, GfK SE
2:45 PM
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How Suited Is Propensity Score Matching for Combining Data from Different Sources?
Florian Meinfelder, Universitaet Bamberg
3:25 PM
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Thursday, 08/03/2017
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The Use of Propensity Weight Adjustments for a Mobile Panel Sample
Ronaldo Iachan, ICF International; John Boyle, ICF; Robert Tortora, ICF; Yangyang Deng, ICF
8:35 AM
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Using Lasso Regression for the Selection of Matching Variables to Analyze Crash Risk in SHRP 2 Data for a Case-Control Setting
Huizhong Guo; Linda Ng Boyle, University of Washington
10:35 AM
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Constructing a Synthetic Control Arm from Previous Clinical Trials, with Application to Cancer Trials
Steven Schwager, Medidata Solutions; Michael Elashoff, Medidata Solutions; Philip Beineke, Medidata Solutions; Ruthanna Davi, Medidata Solutions
11:50 AM
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