Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Matching returned 43 record(s)
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Sunday, 07/31/2016
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The Same Smoking Gun? Uncertainty in Matching Cartridge Casings
Munir Winkel, North Carolina State University
2:25 PM
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Information Recovery in Errorfully Labeled Graphs via Graph Matching
Vince Lyzinski, The Johns Hopkins University
2:30 PM
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Using Maximum Topology Matching to Explore Differences in Species Distribution Models
Jorge Poco, University of Washington
4:05 PM
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Bayesian Multiple Imputation Procedures to Equate Health Assessment Questionnaires
Chenyang Gu, Brown University; Roee Gutman, Brown University
4:25 PM
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Generalized Full Matching
Fredrik Sävje, University of California at Berkeley; Michael Higgins, Kansas State University; Jasjeet Sekhon, University of California at Berkeley
4:25 PM
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Characterizing Causal Treatment Effect Heterogeneity with Conditional Inference Trees
Julian Wolfson, University of Minnesota; Lauren Erickson, HealthPartners Institute for Education and Research
4:35 PM
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Propensity Score Calipers and the Overlap Condition
Ben Hansen, University of Michigan
5:05 PM
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Monday, 08/01/2016
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Using Statistical Matching as a Supplement to Exact Record Linkage
Jonas Beste, Institute for Employment Research; Jonathan Gessendorfer, Institute for Employment Research; Jörg Drechsler, Institute for Employment Research; Joseph Sakshaug
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Data Fusion for Predicting Long-Term Program Impacts
Michael Robbins, RAND Corporation
8:55 AM
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Aggregate Propensity Matching in Market Research
Kurt Pflughoeft, MaritzCX; Sharon Alberg, MaritzCX; Kurt Salmela, MaritzCX; Greg Blevins, MaritzCX
10:05 AM
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A Matching Coalescent with Application to Testing Model Adequacy with Heteroscedastic Variances
James Neill, Kansas State University; Forrest Miller, Kansas State University
11:20 AM
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Matching Methods for Large Networks
Alexander Volfovsky, Harvard
11:35 AM
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Application of Propensity-Score Matching in Data Augmentation of Randomized Clinical Trials: A Case Study
Junjing Lin, AbbVie; Margaret Gamalo-Siebers, Eli Lilly and Company; Ram Tiwari, FDA/CDER/OT/OB
2:20 PM
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Spatial Confounding Adjustment with Propensity Score Matching
Georgia Papadogeorgou, Harvard T.H. Chan School of Public Health; Corwin Zigler, Harvard T.H. Chan School of Public Health
2:45 PM
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Tuesday, 08/02/2016
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Propensity Score Methods for Multiple and Multi-Valued Treatments and Their Interactions
Zirui Gu, Virginia Commonwealth University; Bassam A. Dahman, Virginia Commonwealth University
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Matching and Regression to the Mean in the Difference-in-Differences Design
Jamie R. Daw, Harvard; Laura Anne Hatfield, Harvard Medical School
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Matching Estimators for Causal Effects with Multiple Treatments
Anthony Scotina; Roee Gutman, Brown University
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Assessment of Meals on Wheels Program Efficacy via Record Linkage with Medicare Claim Files
Mingyang Shan, Brown University; Roee Gutman, Brown University
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Matching Estimators for Causal Effects with Multiple Treatments
Anthony Scotina; Roee Gutman, Brown University
8:45 AM
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Matching and Regression to the Mean in the Difference-in-Differences Design
Jamie R. Daw, Harvard; Laura Anne Hatfield, Harvard Medical School
9:35 AM
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Assessment of Meals on Wheels Program Efficacy via Record Linkage with Medicare Claim Files
Mingyang Shan, Brown University; Roee Gutman, Brown University
10:00 AM
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Quantifying Quality and Uncertainty in Forensic Pattern Matching
Lucas Mentch, North Carolina State University; Duy Thai, Statistical and Applied Mathematical Sciences Institute
11:15 AM
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The Importance of Problem Definition in Statistical Consulting: An Illustration Using Academic Undermatching
Jillian Downey, Iowa State University; Ulrike Genschel, Iowa State University; Ann Gansemer-Topf, Iowa State University; Mark Kaiser, Iowa State University
11:20 AM
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Matchmaker, Data Scientist, or Both? Using Unsupervised Learning Methods for Matching Nonprobability Samples to Probability Sample
Trent Buskirk, Marketing Systems Group; David Dutwin, SSRS
11:35 AM
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Evaluating In Vivo-In Vitro Correlation Using a Bayesian Approach
Junshan Qiu, FDA; Marilyn Martinez, FDA; Ram Tiwari, FDA/CDER/OT/OB
12:05 PM
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Curve-Matching for Child Growth and Development: A Delicate Interplay of Smart Data Processing and Statistical Principles
Stef van Buuren, Healthy Birth, Growth and Development knowledge integration (HBGDki) Community
2:25 PM
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Moment-Matching Variational Inference
Matthew Hoffman, Adobe
2:25 PM
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Dynamic Factor Models and Reduced Rank Regression in High-dimensional Time Series
Tze Leung Lai, Stanford University; Ka Wai Tsang, The Chinese University of Hong Kong; Hongsong Yuan, Shanghai University of Finance and Economics
2:30 PM
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Automatic Matching of Bullet Lands
Eric Hare, Iowa State University; Heike Hofmann, Iowa State University; Alicia Carriquiry, Iowa State University
3:25 PM
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Wednesday, 08/03/2016
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Time Series Matching for Novelty Detection in the Stepdown Ward: A Gaussian Process Approach
Glen Wright Colopy, University of Oxford; Marco A. F. Pimentel; Stephen J. Roberts; David A. Clifton
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Optimal Multilevel Matching Using Network Flows: An Application to a Summer Reading Intervention
Luke Keele, Penn State University; Samuel D. Pimentel, University of Pennsylvania
9:20 AM
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Proximity Score Matching: Using the Random Forest Proximity Matrix for Matching in Causal Inference
Hui Fen Tan, Cornell University; David Isaac Miller, Northwestern University; James Savage, Lendable
10:35 AM
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Discovering Effect Modification in Matched Observational Studies with Multiple Controls
Kwonsang Lee, University of Pennsylvania; Dylan Small, University of Pennsylvania; Paul R. Rosenbaum, University of Pennsylvania
10:50 AM
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Leveraging Multiple Outcomes in Matched Observational Studies
Colin B. Fogarty, MIT; Dylan Small, University of Pennsylvania
11:05 AM
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Modeling Similar Nonmatches in Record Linkage with Mixture Models
Michael Larsen, The George Washington University
11:05 AM
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Propensity Score Approach for Multiple Treatment Options and Its Application in Cancer Outcome Research
Yuan Liu; Jeanne Kowalski, Emory University; Theresa Wicklin Gillespie, Emory University
11:20 AM
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Bagged One-to-One Matching for Efficient and Robust Treatment Effect Estimation
Lauren Samuels, Vanderbilt University; Robert Greevy, Vanderbilt University
11:50 AM
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Prognostic Score Weighting and Nonparametric Weighting via Bagged One-to-One Matching
Robert Greevy, Vanderbilt University; Lauren Samuels, Vanderbilt University
12:05 PM
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Propensity Score Matching Using Random Forest in Educational Data Mining Problems
Richard Levine, San Diego State University
2:05 PM
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Vertex Nomination via Seeded Graph Matching
Heather Patsolic, The Johns Hopkins University; Vince Lyzinski, The Johns Hopkins University; Carey Priebe, The Johns Hopkins University
3:20 PM
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Thursday, 08/04/2016
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Combining Item Response Theory with Multiple Imputation to Equate Health Assessment Questionnaires
Chenyang Gu, Brown University; Roee Gutman, Brown University; Vincent Mor, Brown University
9:25 AM
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Utilization of Historical Patient-Level Data for Efficient Trial Design
Zachary Thomas, Eli Lilly and Company; Tianle Hu, Eli Lilly and Company; Nathan Enas, Eli Lilly and Company; Honglu Liu, Eli Lilly and Company
10:55 AM
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How to Control for Unmeasured Confounding in an Observational Time-to-Event Study with Exposure Incidence Information: The Treatment Choice Cox Model
James Troendle, National Institutes of Health; Zhiwei Zhang, FDA/CDRH; Eric Leifer, National Heart, Lung, and Blood Institute; Song Yang, National Heart, Lung, and Blood Institute; Michael Sklar, University of Pennsylvania; Heather Jerry, Nebraska Department of Health and Human Services
11:35 AM
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