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: Random Forest returned 29 record(s)
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Tuesday, 08/02/2016
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Machine Learning Applications for Survey Design, Collection, and Adjustment: Going Beyond the Trees to See Clusters, Forests, and Neighbors
Trent Buskirk, Marketing Systems Group
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Identify a Subset of Items That Predict the Total Score of a Psychological Assessment Measure
Tzu-Cheg Kao, Uniformed Services University of the Health Sciences; James A. Naifeh, Uniformed Services University of the Health Sciences ; Carol Fullerton, Uniformed Services University of the Health Sciences ; Robert Ursano, Uniformed Services University of the Health Sciences
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Challenges of Predicting Individual Risk in Genome-Wide Association Studies
Agnes Martine Nielsen, Technical University of Denmark; Helle Krogh Pedersen, Technical University of Denmark; Ramneek Gupta, Technical University of Denmark; Line Harder Clemmensen, Technical University of Denmark
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Visualizing the Classification Model Produced by a Projection Pursuit Random Forest
Natalia Da Silva, Iowa State University; Dianne Cook, Monash University
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A Random Forest of Modified Interaction Trees for Treatment Decision Rules
Zhen Zeng, Merck; Zheng Wei, Sanofi US; Yuefeng Lu, Sanofi US
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A Random Forest of Modified Interaction Trees for Treatment Decision Rules
Zhen Zeng, Merck; Zheng Wei, Sanofi US; Yuefeng Lu, Sanofi US
10:35 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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L-CC Classification and Variable Selection for Multi-Label Data Sets
Monika Stupalova du Toit, Stellenbosch University; Sarel Steel, Stellenbosch University
2:05 PM
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Multi-Class ROC Tree and Random Forest for Imbalanced Data Classification
Jiaju Yan, SUNY Stony Brook; Wei Zhu, SUNY Stony Brook; Bowen Song, Ocean University of China
2:20 PM
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A Comparison of Spatial Prediction Models for Traffic-Related Air Pollution Data
Zheng Zhu; Roman Jandarov, University of Cincinnati
3:20 PM
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Wednesday, 08/03/2016
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Predicting Human and Animal Protein Subcellular Locations
Sepideh Khavari; James Munyon, Bowling Green State University; Xiangjia Min, Youngstown State University; Guang-Hwa Chang, Youngstown State University
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Predicting Human and Animal Protein Subcellular Locations
Sepideh Khavari; James Munyon, Bowling Green State University; Xiangjia Min, Youngstown State University; Guang-Hwa Chang, Youngstown State University
8:40 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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Comparisons of Statistical Methods for Determining Gene Expression Signatures to Predict Prostate Cancer Response
Dirk Moore, Rutgers School of Public Health; Qian Dong, Celgene
11:05 AM
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Random Forest for Paired Data
Matthew Mitchell, Metabolon; Jacob Edward Wulff, Metabolon; Philip Ross Gunst, Metabolon
11:20 AM
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Random Forests for High-Throughput Omics Data and Survival Endpoints: A Tour of the Horizon
Andreas Ziegler, University of Lübeck; Marvin N. Wright, University of Lübeck; Matthias Schmid, University of Bonn
2:05 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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Estimation and Inference of Heterogeneous Treatment Effects Using Random Forests
Susan Athey, Stanford University; Stefan Wager, Stanford University
2:30 PM
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Supervised Neighborhoods for Distributed Nonparametric Regression
Ameet Talwalkar, University of California at Los Angeles
2:30 PM
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An Accurate Method in Predicting Postmortem Interval Using Microbial Community Dynamics
Meng Lu, University of Arizona; Hongmei Jiang, Northwestern University; Lingling An, University of Arizona
2:50 PM
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Making Sense of Digital Experiments with Bayesian Nonparametrics
Matt Taddy, Chicago Booth
2:55 PM
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Thursday, 08/04/2016
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Personalized Treatment for Longitudinal Data Using Unspecified Random-Effects Model
Hyunkuen Cho, Western Michigan University; Peng Wang, University of Cincinnati; Annie Qu, University of Illinois at Urbana-Champaign
8:35 AM
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Estimating the Optimal Regime to Prolong Survival in Treatment of Prostate Cancer Recurrence Using Flexible Weighting Models
Jincheng Shen, Harvard T.H. Chan School of Public Health; Lu Wang, University of Michigan; Jeremy M. G. Taylor, University of Michigan
9:25 AM
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Persistent Organochlorine Compounds, Menstrual Cycle Length, and Fecundity: A Joint Modeling Approach
Rajeshwari Sundaram, Eunice Kennedy Shriver National Institute of Child Health and Human Development
9:55 AM
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Using Random Forest to Create Adstock Predictors
Kathleen Bell, LB Personifi; Scott Dachtyl, LB Personifi; Rob Howie, Hallmark
10:35 AM
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