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Keyword Search Criteria: Variable Importance returned 9 record(s)
Sunday, 07/28/2019
Black-Box Inference: Efficient, Scalable, Model-Free Tests for Variable Importance
Timothy Coleman, University of Pittsburgh; Lucas Mentch, University of Pittsburgh


Monday, 07/29/2019
Comparing Variance-Based Versus Count Methods for Determining Variable Activity in Bayesian Additive Regression Trees
Akira Horiguchi, The Ohio State University


Combining Machine Learning and Statistical Modeling to Identify Risk Factors of Hospital Mortality and Directionality for Patients with Acute Respiratory Distress Syndrome (ARDS)
Meng Zhang, Feinstein Institute for Medical Research; Michael Qiu, Feinstein Institue for Medical Research; Molly Stewart, Feinstein Institue for Medical Research; Jamie Hirsch, Feinstein Institue for Medical Research; Negin Hajizadeh, Feinstein Institue for Medical Research


A Generalized Framework for High-Dimensional Inference Using Leave-One-Covariate-Out LASSO Path
Xiangyang Cao, University of South Carolina; Karl Gregory, University of South Carolina; Dewei Wang, University of South Carolina
9:50 AM

Understanding the Effects of Predictor Variables in Black-Box Supervised Learning Models
Daniel W Apley, Northwestern University
2:05 PM

Wednesday, 07/31/2019
Robust Inference on the Causal Effects of Stochastic Interventions Under Two-Phase Sampling, with Applications in Vaccine Efficacy Trials
Nima Hejazi, UC Berkeley


Cross Validation Importance Learning
Chenglong Ye, University of Minnesota; Yuhong Yang, University of Minnesota
9:05 AM

A Unified Approach to Nonparametric Variable Importance Assessment
Brian Williamson, University of Washington; Noah Simon, University of Washington; Marco Carone, University of Washington
11:15 AM

VIVID - Visualisation of Variable Importance Differences for Improved Understanding of Parkinson's Disease
Samuel Mueller, The University of Sydney; Connor Smith, University of Sydney; Boris Guennewig, University of Sydney
12:15 PM