Keyword Search
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Keyword Search Criteria: covariates returned 37 record(s)
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Monday, 07/31/2017
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Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky
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Impact of Divergence of Training and Testing Sets on Predictive Risk and Measure of Model Complexity
Jieyi Jiang, Ohio State University; Yoonkyung Lee, The Ohio State University; Steven MacEachern, The Ohio State University
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Model-Based Community Detection for Networks with Node Covariates
Boang Liu, University of Michigan; Ji Zhu, University of Michigan
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Inference for Large Networks
Peter Bickel, UC Berkeley; purna sarkar, u. of texas; Soumendu Mukherjee, UC Berkeley
8:35 AM
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Covariate-Powered Weighted Multiple Testing with False Discovery Rate Control
Huber Wolfgang, EMBL; Nikos Ignatiadis, Stanford University
8:55 AM
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Impact of Divergence of Training and Testing Sets on Predictive Risk and Measure of Model Complexity
Jieyi Jiang, Ohio State University; Yoonkyung Lee, The Ohio State University; Steven MacEachern, The Ohio State University
8:55 AM
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Data-Driven Penalization for High-Dimensional Regression and Classification Using External Covariates
Britta Velten, EMBL Heidelberg; Wolfgang Huber, EMBL Heidelberg
9:15 AM
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Additive Rate Model for Recurrent Event Data with Intermittently Observed Time-Dependent Covariates
Tianmeng Lyu, Univ. Minnesota Biostatistics Dept.; Xianghua Luo, University of Minnesota; Chiung-Yu Huang, Johns Hopkins University
9:35 AM
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Model-Based Community Detection for Networks with Node Covariates
Boang Liu, University of Michigan; Ji Zhu, University of Michigan
10:15 AM
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Selecting Classification Types for Time-Dependent Covariates to Improve the Marginal Analysis of Longitudinal Data
I-Chen Chen, University of Kentucky; Philip M. Westgate, University of Kentucky
10:40 AM
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Group Variable Selection with Compositional Covariates
Anna Plantinga, University of Washington; Michael C. Wu, Fred Hutchinson Cancer Research Center
2:20 PM
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Optimum Designs for Nonlinear Models in the Presence of Multiple Covariates
Mahbub AHM Latif, St. Luke's International University; Barbara Bogacka, Queen Mary, University of London; Steven G Gilmour, King's College London
2:35 PM
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Tuesday, 08/01/2017
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Adjustment of Multi-Sample U-Statistics to Right Censored Data with Confounding Covariates
YICHEN CHEN, DEPARTMENT OF BIOSTATISTICS, UNIVERSITY OF FLORIDA; Somnath Datta, University of Florida
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On the Estimation of Risk Difference in the Presence of Continuous Baseline Covariates
Hua Ma, Merck; Robin Mogg, Merck
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Contextualizing Sensitivity Analysis in Observational Studies: Calculating Bias Factors for Known Covariates
Lucy D'Agostino McGowan; Robert A Greevy, Jr, Vanderbilt University
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Accounting for Baseline Covariates and Missing Data in Regulatory Trials with Longitudinal Designs
Elizabeth Colantuoni, Johns Hopkins University; Jon Steingrimsson, Johns Hopkins University; Aidan McDermott, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University
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Accounting for Baseline Covariates and Missing Data in Regulatory Trials with Longitudinal Designs
Elizabeth Colantuoni, Johns Hopkins University; Jon Steingrimsson, Johns Hopkins University; Aidan McDermott, Johns Hopkins University; Michael Rosenblum, Johns Hopkins University
8:45 AM
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GMM Logistic Regression with Time-Dependent Covariates and Feedback Processes
Kyle M Irimata, Arizona State University
8:55 AM
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On the Estimation of Risk Difference in the Presence of Continuous Baseline Covariates
Hua Ma, Merck; Robin Mogg, Merck
9:20 AM
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Contextualizing Sensitivity Analysis in Observational Studies: Calculating Bias Factors for Known Covariates
Lucy D'Agostino McGowan; Robert A Greevy, Jr, Vanderbilt University
9:50 AM
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Semiparametric Approaches for Matched Case-Control Studies with Error-In-Covariates
Nels Johnson; Inyoung Kim, Virginia Tech
11:35 AM
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Wednesday, 08/02/2017
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Optimally Identify High Value Subgroups of Patients via Baseline Covariates
Florence Yong, Pfizer Inc.; Lu Tian, Stanford University
9:35 AM
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Decorrelation of Covariates for High-Dimensional Sparse Regression
Yuan Ke, Princeton University; Jianqing Fan, Princeton University; Kaizheng Wang, Princeton University
10:50 AM
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Online Decision-Making with High-Dimensional Covariates
Hamsa Bastani, Stanford University; Mohsen Bayati, Stanford University
11:00 AM
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An Optimal Covariate-Adaptive Design to Balance Tiers of Covariates
Fan Wang; Feifang Hu, George Washington University
11:50 AM
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Sequential BART for Imputation of Missing Covariates in the Presence of Auxiliary Covariates
Dandan Xu, The University of Texas at Austin; Michael J Daniels, University of Texas at Austin
2:25 PM
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Ratio of Means vs. Difference of Means Non-Inferiority or Equivalence Tests -Difference in Adjustment for Covariates
Wanjie Sun, FDA; Stella Grosser, FDA
2:35 PM
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Thursday, 08/03/2017
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Additive Logistic Model with Stochastic Macro-Economic Covariates for Corporate Bankruptcy Prediction
Xiaorui Zhu, University of Cincinnati, Lindner College of Business; Yan Yu, University of Cincinnati; Shaonan Tian, San Jose State University
9:05 AM
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Integrated Powered Density: Screening Utrahigh-Dimensional Covariates with Survival Outcomes
Hyokyoung (Grace) Hong, Michigan State University; Yi Li, University of Michigan; Xuerong Chen, Southwest University of Finance and Economics
9:15 AM
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Dynamic Association Based on Time-Dependent Risk Factors in Longitudinal Studies
Lihui Zhao, Northwestern University; Kiang Liu, Northwestern University; Colin O. Wu, Office of Biostatistics Research, National Heart, Lung and Blood Institute, NIH; Donald Lloyd-Jones, Northwestern University; Norrina Allen, Northwestern University; Sejong Bae, University of Alabama, Birmingham; Lu Tian, Stanford University
9:15 AM
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Matched Bipartite Community Detection with Node Covariates
Jingyi Li, UCLA; Zahra S. Razaee, UCLA; Arash A. Amini, UCLA
9:35 AM
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Model Assessment on Longitudinal Binary Data with Time-Dependent Covariates
Tan Li, Florida International University; Katrina INTERNATIONAL Epnere, Florida International University
11:05 AM
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Beta Regression for Modeling the ROC as a Function of Continuous Covariates
Sarah Stanley, Baylor University; Jack Tubbs, Baylor University
11:50 AM
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