Keyword Search
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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Matching returned 49 record(s)
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Sunday, 07/29/2018
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Matching Methods for Evaluating the Effect of a Time-Dependent Treatment on the Survival Function
Danting Zhu, University of Michigan; Douglas E. Schaubel, University of Michigan, Ann Arbor
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Application of Propensity Score Quintile Matching for Baseline Parameters in a Medical Device Trial Design
Hong Wang, Boston Scientific Corporation; Songtao Jiang, Boston Scientific; Peter Lam, Boston Scientific
2:05 PM
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Understanding Variance Estimator Bias in Stratified Two-Stage Sampling
Khoa Dong, U.S. Census Bureau; Timothy Trudell, US Census Bureau; Yang Cheng, US Census Bureau; Eric Slud, U.S. Census Bureau
2:25 PM
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Matching Methods for Evaluating the Effect of a Time-Dependent Treatment on the Survival Function
Danting Zhu, University of Michigan; Douglas E. Schaubel, University of Michigan, Ann Arbor
3:45 PM
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Validating Science in an Open-Source Approach to Forensic Statistics: Algorithms, Data and Results
Heike Hofmann, Iowa State University
4:55 PM
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Monday, 07/30/2018
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An Algorithm to Compare Patterns and Its Application on Shoe Out-Sole Impressions
Soyoung Park, Iowa State University / CSAFE; Alicia Carriquiry, Iowa State University
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Intravenous Fluid Treatments for Ebola Patients: The Risk and the Reward
Derrick Yam, Brown University; Tao Liu, Brown University; Adam Levine, Brown University; Adam Aluisio, Brown University; Shiromi Peters, International Medical Corps; Suzanne Averill, International Medical Corps; Stephen Kennedy, Ministry of Health, Liberia; Fodey Sahr, Sierra Leone Ministry of Defence; Jillian Peters, Brown University; Daniel Cho, Brown University
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Estimating Causal Effect by Difference in Difference via Random Forest
Tomoshige Nakamura, Graduate School of Science and Technology, Keio University; Mihoko Minami, Keio University
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Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
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Optimal Matching Approaches in Health Policy Evaluations Under Rolling Enrollment
Jonathan Gellar, Mathematica Policy Research; Jiaqi Li, Mathematica Policy Research; Lauren Vollmer, Mathematica Policy Research
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Building Representative Matched Samples in Large-Scale Observational Studies with Multivalued Treatments
Jose Zubizarreta, Harvard University
8:35 AM
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Making Optimal Matching Size-Scalable Using Optimal Calipers
Ruoqi Yu, University of Pennsylvania; Paul Rosenbaum, University of Pennsylvania
8:50 AM
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Optimal Tradeoffs Between Generalized Design Goals in Multivariate Matching
Samuel David Pimentel, University of California, Berkeley; Rachel R. Kelz, University of Pennsylvania
9:00 AM
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Intravenous Fluid Treatments for Ebola Patients: The Risk and the Reward
Derrick Yam, Brown University; Tao Liu, Brown University; Adam Levine, Brown University; Adam Aluisio, Brown University; Shiromi Peters, International Medical Corps; Suzanne Averill, International Medical Corps; Stephen Kennedy, Ministry of Health, Liberia; Fodey Sahr, Sierra Leone Ministry of Defence; Jillian Peters, Brown University; Daniel Cho, Brown University
9:05 AM
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Poly-Matching for Observational Studies: A Comparative Trauma Care Study
Bo Lu, The Ohio State University
9:25 AM
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Optimal Matching Approaches in Health Policy Evaluations Under Rolling Enrollment
Jonathan Gellar, Mathematica Policy Research; Jiaqi Li, Mathematica Policy Research; Lauren Vollmer, Mathematica Policy Research
9:50 AM
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Combining Predictive Mean Matching with the Penalized Spline of Propensity Prediction Method When Performing Multiple Imputation
Jay Xu; Roee Gutman, Brown University
11:50 AM
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Estimating Causal Effect by Difference in Difference via Random Forest
Tomoshige Nakamura, Graduate School of Science and Technology, Keio University; Mihoko Minami, Keio University
12:05 PM
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Population Based Case Control Studies with Frequency Matching: Capturing a Further Component of Variability
Sabrina Zhang, Westat; Ralph DiGaetano, Westat; Jane Li, Westat
2:20 PM
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Tuesday, 07/31/2018
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Preventing False Discovery of Heterogeneous Treatment Effect Subgroups in Randomized Trials
Joseph Rigdon, Stanford University; Michael Baiocchi, Stanford University; Sanjay Basu, Stanford University School of Medicine
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Using Stratified Propensity Score Matching Approach to Adjust Risk Assessment for Breast Reconstruction Patients
Jun Liu, UT MDACC; Liang Li, UT MD Anderson Cancer Center; Summer Elizabeth Summer, UT MDACC; Victor Joseph Hassid, UT MDACC; Jesse Creed Selber, UT MDACC; Charles Butler, UT MDACC; Patrick Bryan Garvey, UT MDACC; Donald Baumann, UT MDACC
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Use of Propensity Score and Disease Risk Score for Multiple Treatments with Time-To-Event Outcome
DI ZHANG, University of Pittsburgh; Jessica Kim, Division of Biometrics VII/Office of Biostatistics/CDER, FDA
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Analyzing the Effect of the Great Recession (2007-2009) on Changes in Health
Luke Francisco; Elliot Friedman, Purdue University; Ryan Murphy, Purdue University; Lei Nie, Purdue University
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Propensity Score Matching in an Evaluation of a Federal Scholarship for Service (SFS) Program
Hannah Acheson-Field, IDA Science and Technology Policy Institute (STPI); Asha Balakrishnan, IDA Science and Technology Policy Institute (STPI); Justin Mary, IDA Science and Technology Policy Institute (STPI); Claire Summers, IDA Science and Technology Policy Institute
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Causal Inference with Complex Surveys: a Comparison of Propensity Score Based Methods
Daniele Bottigliengo, Università degli Studi di Padova; Ileana Baldi, Università degli Studi di Padova; Corrado Lanera, Università degli Studi di Padova; Dario Gregori, Università degli Studi di Padova; Paola Berchialla, Università degli Studi di Torino
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Addressing Challenges in an International Study with Propensity Scores: a Case Study from Indonesia
Marissa Gargano, RTI International; Susan Edwards, RTI International
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Samples, Unite! Understanding the Consequences of Combining Probability and Non-Probability Samples When Linking Records Is Difficult
Benjamin Williams, Southern Methodist University
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Addressing Challenges in an International Study with Propensity Scores: a Case Study from Indonesia
Marissa Gargano, RTI International; Susan Edwards, RTI International
8:45 AM
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Approaches to Matching Darknet Market Seller
Xiao Hui Tai, Carnegie Mellon University
9:15 AM
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Samples, Unite! Understanding the Consequences of Combining Probability and Non-Probability Samples When Linking Records Is Difficult
Benjamin Williams, Southern Methodist University
9:55 AM
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Variational Hamiltonian Monte Carlo via Score Matching
Cheng Zhang, Fred Hutchinson Cancer Research Center
11:25 AM
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The Statistical Performance of Matching-Adjusted Indirect Comparisons
David Cheng, Harvard University; Rajeev Ayyagari, Analysis Group; Timothy Juday, Allergan; Angelina Villasis Keever, Janssen Research and Development; James Signorovitch, Analysis Group
11:35 AM
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Causal Inference with Complex Surveys: a Comparison of Propensity Score Based Methods
Daniele Bottigliengo, Università degli Studi di Padova; Ileana Baldi, Università degli Studi di Padova; Corrado Lanera, Università degli Studi di Padova; Dario Gregori, Università degli Studi di Padova; Paola Berchialla, Università degli Studi di Torino
11:55 AM
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Wednesday, 08/01/2018
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Graph Matching and Subsequent Inference in Errorfully Observed Network Data
Vince Lyzinski, University of Massachusetts Amherst
9:00 AM
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Matching Methods for Causal Inference with Time-Series Cross-Section Data
Kosuke Imai, Princeton University; Erik Wang, Princeton University; In Song Kim, MIT
10:35 AM
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Calibrating Big Data for Population Inference: Applying Quasi-Randomization Approach to Naturalistic Driving Data Using Bayesian Additive Regression Trees
Ali Rafei, University of Michigan; Michael Elliott, University of Michigan; Carol A.C. Flannagan, University of Michigan, Transport Research Institute
10:35 AM
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Matching Using Sufficient Dimension Reduction for Causal Inference
Yeying Zhu, University of Waterloo; Wei Luo, Baruch College
10:55 AM
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Towards Multiple-Imputation-Proper Predictive Mean Matching
Philipp Gaffert, GfK SE; Florian Meinfelder, Universität Bamberg; Volker Bosch, GfK SE
10:55 AM
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Template Matching for Comparing Hospital Performance in Veterans Affairs Health System: a Simulation Study
Brenda Vincent, VA Center for Clinical Management Research; Hallie Prescott, VA Center for Clinical Management Research
3:35 PM
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Thursday, 08/02/2018
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Relationship Between Positive Responses to Child-Specific Probes on the 2010 Census Questionnaire and 2010 Census Coverage Measurement Nonmatching Young Children
Mary Mulry, U.S. Census Bureau
8:35 AM
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Generalized Score Matching for Non-Negative Data
Shiqing Yu, University of Washington; Mathias Drton, University of Washington; Ali Shojaie, University of Washington
8:50 AM
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An Overview of Matching Adjusted Indirect Comparisons in Single Arm Clinical Trials with Practical Recommendations and Potential Challenges
Dawn Odom, RTI Health Solutions; Molly Purser, RTI Health Solutions; Lawrence Rasouliyan, RTI Health Solutions
9:15 AM
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Finding and Combining Multiple Designed Data Sets for Estimating Causal Effects in Observational Studies
Zach Branson, Harvard University; Marie-Abele Bind, Harvard University
9:20 AM
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Matching Adjusted Indirect Comparisons: Sensitivity Analyzes and Graphical Diagnostics
Wei Gao, Analysis Group, Inc.; Vanya Rybkin, Analysis Group, Inc.; Zhiwen Yao, Analysis Group, Inc.; Michael Hellstern, Analysis Group, Inc.; James Signorovitch, Analysis Group
9:35 AM
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The Beauty of Score Matching Estimators for Distributions on Manifolds with Some Cutting-Edge Applications
KANTI V MARDIA, UNIVERSITY OF LEEDS
10:35 AM
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Promises and Challenges of Data Integration
Mauricio Sadinle, University of Washington
10:55 AM
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Scoring Rules for Probabilistic Binary Classification
Matthew Parry, University of Otago
11:00 AM
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Causal Effects in Partially and Non-Randomized Two-Stage Designs with Interference
Avi Feller, UC Berkeley; Samuel David Pimentel, University of California, Berkeley; Panos Toulis, University of Chicago; Guillaume Basse, Harvard University; Luke J. Keele, University of Pennsylvania
11:25 AM
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Efficient and Principled Score Estimation
Arthur Gretton, UCL
11:25 AM
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