Keyword Search
Sessions Were Renumbered as of May 19.
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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: Interactions returned 16 record(s)
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Monday, 08/01/2016
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Detecting Vaccine-Vaccine Interactions in Large Spontaneous Reporting Databases
Kijoeng Nam, Merck; Nicholas Henderson, The Johns Hopkins University
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Time and Cluster Interactions in the Stepped Wedge Trial Design
Christopher M. Keener, University of Pittsburgh; Chung-Chou H. Chang, University of Pittsburgh
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Identifying Interactions Using Convex Optimization
Jacob Bien, Cornell University ; Robert Tibshirani, Stanford University; Noah Simon, University of Washington
10:55 AM
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Why Significant Variables Aren't Automatically Predictive
Adeline Lo; Herman Chernoff, Harvard University; Tian Zheng, Columbia University; Shaw-Hwa Lo, Columbia University
11:15 AM
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Bayesian Variable Selection: An Alternative Route to Hierarchical Gene-Environment Interactions
Cen Wu, Kansas State University; Yu Jiang, University of Memphis; Jinfeng Wei, Maryville University; Shuangge Ma, Yale University
11:35 AM
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Interactions and Squares: Don't Transform, Just Impute!
Philipp Gaffert, GfK SE; Volker Bosch, GfK SE; Florian Meinfelder, Otto-Friedrich-Universität Bamberg
2:25 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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C.Logic: An Algorithm to Classify Dichotomous Disease Outcomes Using Interactions Between Dichotomous and Continuous Predictors
Sybil Prince Nelson
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Two-Sample Tests for High-Dimensional Linear Regression with an Application to Detecting Interactions
Yin Xia, The University of North Carolina at Chapel Hill
8:35 AM
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Modeling Survey Data with Regression Trees
Daniell Toth, Bureau of Labor Statistics
10:55 AM
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Detecting Dynamic Long-Range Chromatin Interactions from Multiple Cell Types Hi-C Data Using a Bayesian Hierarchical Hidden Markov Random Field Model
Zheng Xu, The University of North Carolina at Chapel Hill; Guosheng Zhang, The University of North Carolina at Chapel Hill; Anthony Schmidt, University of California at San Diego; Bing Ren, University of California at San Diego; Ming Hu, New York University; Yun Li, The University of North Carolina at Chapel Hill
2:55 PM
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