Keyword Search
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Keyword Search Criteria: covariate returned 76 record(s)
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Sunday, 07/28/2019
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Weighted Regression with Covariates Derived from Discrepancies Between High-Dimensional Predictors
Lucia Tabacu, Old Dominion University; Andrew Leroux, JHU; Ciprian Crainiceanu, Johns Hopkins University
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A Modified Partial Likelihood Score Method for Cox Regression with Covariate Error Under the Internal Validation Design
Xin Zhou, Yale School of Public Health; David Zucker, The Hebrew University of Jerusalem; Xiaomei Liao, AbbVie; Yi Li, University of Michigan School of Public Health; Donna Spiegelman, Yale School of Public Health
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Hypothesis Testing in Nonlinear Function on Scalar Regression with Application to Child Growth Study
Mityl Biswas, NC State Univ
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Identify Consensus Among Match Makers: a Clustering Aggregation Perspective
Yumin Zhang, Purdue University; Arman Sabbaghi, Purdue University
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Uncertainty Quantification of Treatment Regime with High-Dimensional Covariates
Sijian Wang, Rutgers University; Minge Xie, Rutgers University; Yilei Zhan, Rutgers University
2:05 PM
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Functional Variable Selection with Correlated Functional Covariates and Longitudinal Responses
Rebecca North, NCSU Statistics; Jonathan Stallrich, North Carolina State University; Ana-Maria Staicu, North Carolina State University; Helen Huang, NCSU Biomedical Engineering; Dustin Crouch, University of Tennessee, Knoxville; Mechanical, Aerospace, and Biomedical Engineering
2:20 PM
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Threshold Regression in Presence of Missing Covariate
Tao Yang, Fred Hutchinson Cancer Research Center; Ying Huang, Fred Hutchinson Cancer Research Center; Youyi Fong, Fred Hutchinson Cancer Research Center
2:20 PM
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The Role of Time-Dependent Covariates in Models for the Risk of Repeated Events
Trent L Lalonde, University of Northern Colorado
2:25 PM
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A Modified Partial Likelihood Score Method for Cox Regression with Covariate Error Under the Internal Validation Design
Xin Zhou, Yale School of Public Health; David Zucker, The Hebrew University of Jerusalem; Xiaomei Liao, AbbVie; Yi Li, University of Michigan School of Public Health; Donna Spiegelman, Yale School of Public Health
2:40 PM
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Approaches to Bias Correction When Using Propensity Scores Estimated from Imperfect EHR-Derived Covariates
Joanna Harton, University of Pennsylvania; Nandita Mitra, University of Pennsylvania; Rebecca Hubbard, University of Pennsylvania
2:50 PM
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Matching Methods for Observational Data with Small Group Sizes and Mising Covariates
Juanjuan Fan, San Diego State University; Afrooz Jahedi, San Diego State University; Tristan Hillis, San Diego State University; Ralph-Axel Mueller, San Diego State University
2:55 PM
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Weighted Regression with Covariates Derived from Discrepancies Between High-Dimensional Predictors
Lucia Tabacu, Old Dominion University; Andrew Leroux, JHU; Ciprian Crainiceanu, Johns Hopkins University
3:05 PM
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Hypothesis Testing in Nonlinear Function on Scalar Regression with Application to Child Growth Study
Mityl Biswas, NC State Univ
3:35 PM
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Identify Consensus Among Match Makers: a Clustering Aggregation Perspective
Yumin Zhang, Purdue University; Arman Sabbaghi, Purdue University
3:40 PM
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Assessing Partial Association Between Ordinal Variables: A General Framework
Dungang Liu, University of Cincinnati; Shaobo Li, University of Kansas; Yan Yu, University of Cincinnati
4:35 PM
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Detecting Treatment Differences in Group Sequential Multivariate Longitudinal Studies with Covariate Adjustment
Neal Jeffries, National Heart, Lung, and Blood Institute,-NIH; Nancy Geller, National Institutes of Health, NHLBI; James Troendle, National Institutes of Health
4:35 PM
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Network Response Regression for Modeling Population of Networks with Covariates
Emma Jingfei Zhang, University of Miami; Will Wei Sun, Purdue University; Lexin Li, University of California at Berkeley
4:55 PM
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Semiparametric Maximum Likelihood for Logistic Regression with Misclassified Response and Covariate Measurement Error
Sarah Lotspeich, Vanderbilt University; Bryan E Shepherd, Vanderbilt University School of Medicine; Pamela Shaw, University of Pennsylvania; Ran Tao, Vanderbilt University Medical Center
5:05 PM
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The Performance of Largest Caliper Matching: An Application to SUPPORT Data
Sharif Mahmood
5:35 PM
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Monday, 07/29/2019
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Bayesian Survival Analysis with Missing Covariate Values; an Application to Breast Cancer Data
Refah Alotaibi, Princess Nourah bint Abdulrahman University; Juliana Iworikumo Consul, Niger Delta University, Bayelsa State, Nigeria
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A Bayesian Model of Microbiome Data for Simultaneous Identification of Covariate Associations and Prediction of Phenotypic Outcomes
Matthew Koslovsky, Rice University; Kristi L. Hoffman, Baylor College of Medicine; Carrie R. Daniel, MD Anderson Cancer Center; Marina Vannucci, Rice University
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The Impact of Prior Choice on Latent Variable Network Models
Ian Taylor, Colorado State University; Bailey Fosdick, Colorado State University
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Unobserved Covariate Imbalance of Covariate-Adaptive Randomized Experiments
Yang Liu, George Washington University; Feifang Hu, George Washington University
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Propensity Score Analysis Using Machining Learning Techniques with Data Sets Involving Correlation of Covariates, Clustering, and Complex Outcome Functions and Propensity Scores
Li He, Clemson University; William C. Bridges Jr., Clemson University
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Covariate-Driven Non-Stationary Models in Stan with Application to Water Quality in North American Lakes
Pavel Chernyavskiy, University of Wyoming; Marie-Agnes Tellier, University of Wyoming; Sarah M Collins, University of Wyoming
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Efficient Randomized Algorithms for Continuous Space Reinforcement Learning
Mohamad Kazem Shirani Faradonbeh, University of Florida; Ambuj Tewari, University of Michigan; George Michailidis, University of Florida
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Methods for Handling Correlated Covariates in Integrative Genomics Analysis
Lauren Spirko-Burns; Karthik Devarajan, Fox Chase Cancer Center; Camille Ragin, Fox Chase Cancer Center
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The Application of Beta Regression for Modeling a Covariate Adjusted ROC
Xing Meng, Baylor University; Jack D. Tubbs, Baylor University
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Marginal Mean Hazard Rate Models for Long-Term Survivors with High-Dimensional Covariates
Wei-Wen Hsu, Kansas State University; Jianfeng Chen, Kansas State University; David Todem, Michigan State University; KyungMann Kim, University of Wisconsin-Madison
8:35 AM
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Nonparametric Scanning Tests for Homogeneity with Continuous Covariates in Cure Rate Models
David Todem, Michigan State University
8:55 AM
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Methods for Handling Correlated Covariates in Integrative Genomics Analysis
Lauren Spirko-Burns; Karthik Devarajan, Fox Chase Cancer Center; Camille Ragin, Fox Chase Cancer Center
9:05 AM
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Model-Based Crop Yield Forecasting; Covariate Selection and Related Issues
Habtamu Benecha, NASS/USDA; Luca Sartore, National Institute of Statistical Sciences; Nathan Cruze, USDA National Agricultural Statistics Service
9:35 AM
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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
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Efficient Randomized Algorithms for Continuous Space Reinforcement Learning
Mohamad Kazem Shirani Faradonbeh, University of Florida; Ambuj Tewari, University of Michigan; George Michailidis, University of Florida
10:15 AM
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Berkson Error with Outcome Model Misspecification: Bias When Using Predicted Values in Place of Observed Covariates
Gregory Haber, National Cancer Institute; Joshua Sampson, National Cancer Institute; Barry Graubard, National Cancer Institute
10:50 AM
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Rerandomization and ANCOVA
Peng Ding, University of California, Berkeley; Xinran Li, Wharton Statistics
11:35 AM
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Comparison of Sampling Designs for the Selection of a Validation Subset to Address Correlated Covariate and Failure-Time Outcome Error
Eric Oh, University of Pennsylvania; Thomas Lumley, University of Auckland; Bryan E Shepherd, Vanderbilt University School of Medicine; Pamela Shaw, University of Pennsylvania
11:35 AM
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The Application of Beta Regression for Modeling a Covariate Adjusted ROC
Xing Meng, Baylor University; Jack D. Tubbs, Baylor University
11:45 AM
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Multiple Imputation for Censored Covariate Using Fully Conditional Specification Method
Jingyao Hou; Jing Qian, University of Massachusetts Amherst
12:05 PM
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Covariate-Adjusted Region-Referenced Generalized Functional Linear Model for EEG Data
Damla Senturk, UCLA; Aaron Scheffler, UCLA; Donatello Telesca, UCLA; Catherine Sugar, UCLA; Shafali Jeste, UCLA; Abigail Dickinson, UCLA; Charlotte DiStefano, UCLA
2:25 PM
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Two-Component Mixture Model in the Presence of Covariates
Nabarun Deb, Columbia University; Sujayam Saha, Google; Adityanand Guntuboyina, University of California at Berkeley; Bodhisattva Sen, Columbia University
2:35 PM
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Prediction with Microbiome Sequencing Data via Multi-Kernel Learning
Bing Li, Brown University; Huilin Li, NYU School of Medicine; Shuang Wang, Columbia University
3:20 PM
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Tuesday, 07/30/2019
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Comparison of Parameter Estimates from Optimal Dynamic Treatment Rule-Based Adaptive Designs
Lina Montoya, University of California, Berkeley; James Roose, University of California, Berkeley; Mark van der Laan, UC Berkeley
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Functional Covariate Adjustment in Survey Sampling
Hengfang Wang, Iowa State University of Science and Technology; Zhengyuan Zhu, Iowa State University; Jae-kwang Kim, Iowa State University
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Sequence Distance Regression for Estimating Covariate Effects on Activity Sequences with an Application to Mobile Sensor Data
Roland Brown, University of Minnesota; Julian Wolfson, University of Minnesota
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Prediction with Microbiome Sequencing Data via Multi-Kernel Learning
Bing Li, Brown University; Huilin Li, NYU School of Medicine; Shuang Wang, Columbia University
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Joint Valid Moments Bayesian Marginal Logistic Regression Model with Time Dependent Covariates
Maria Vazquez; Jeffrey Wilson, W. P. Carey School of Business, ASU
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Sieve Maximum Likelihood Method for Interval-Censored Data with Missing Covariates Under Proportional Hazards Model
Ruiwen Zhou, University of Missouri-Columbia; Huiqiong Li, Yunnan University; (Tony) Jianguo Sun, University of Missouri
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A Comparison of Different Statistical Approaches to Deal with Model Misspecification and Missing Outcome Data
Veronica Sciannameo, University of Padova; Gian Paolo Fadini, University of Padova; Daniele Bottigliengo, University of Padova; Angelo Avogaro, University of Padova; Ileana Baldi, University of Padova; Dario Gregori, University of Padova; Paola Berchialla, University of Torino
8:35 AM
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REGRESSION ADJUSTMENT in COMPLETELY RANDOMIZED EXPERIMENTS with a DIVERGING NUMBER of COVARIATES
Lihua Lei, UC Berkeley; Peng Ding, University of California, Berkeley
8:55 AM
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Stochastic Covariates in Poisson Regression
Evrim Oral, LSUHSC School of Public Health, Department of Biostatistics
10:05 AM
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Covariate Adaptive Randomization in Seamless Phase II/III Clinical Trials
Hongjian Zhu, University of Texas Health Science Center at Houston; Wei Ma, Renmin University; Mengxi Wang, University of Texas Health Science Center at Houston
11:05 AM
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Sieve Maximum Likelihood Method for Interval-Censored Data with Missing Covariates Under Proportional Hazards Model
Ruiwen Zhou, University of Missouri-Columbia; Huiqiong Li, Yunnan University; (Tony) Jianguo Sun, University of Missouri
11:30 AM
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A Bayesian Difference-In-Differences Framework for Measuring the Impact of Primary Care Redesign on Diabetes Outcomes
James Normington, Univ of Minnesota; Eric Lock, University of Minnesota; Caroline Carlin, University of Minnesota; Kevin Peterson, University of Minnesota; Bradley Carlin, Counterpoint Statistical Consulting, LLC
11:35 AM
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Joint Valid Moments Bayesian Marginal Logistic Regression Model with Time Dependent Covariates
Maria Vazquez; Jeffrey Wilson, W. P. Carey School of Business, ASU
11:45 AM
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Inference for Heterogeneous Quantile Treatment Effects in High Dimensions: Rank and Score Balancing
Alexander Giessing, Princeton University; Jingshen Wang, University of Michigan
12:05 PM
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The Joint Modeling of Longitudinal Covariates and Censored Quantile Regression
Bo Hu, Columbia University; Ying Wei, Columbia University, Biostatistics Department; Mary Beth Terry, Columbia University
2:05 PM
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Estimating Knots in Bilinear Spline Growth Models with Time-Invariant Covariates in the Framework of Individual Measurement Occasions
Jin Liu; Robert A. Perera, VCU Department of Biostatistics; Robert M. Kirkpatrick, Virginia Institute for Psychiatric & Behavioral Genetics
2:20 PM
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Joint Latent Class Trees: a Tree-Based Approach to Joint Modeling of Time-To-Event and Longitudinal Data
Ningshan Zhang, New York University; Jeffrey S. Simonoff, New York University
2:35 PM
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The Validity of Randomization Tests in Randomized Controlled Clinical Trials
Diane Uschner, George Washington University
3:20 PM
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Wednesday, 07/31/2019
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A Framework for Covariate Balance Using Bregman Distances
Kevin Patrick Josey, Colorado School of Public Health; Elizabeth Juarez-Colunga, University of Colorado Denver; Debashis Ghosh, University of Colorado Anschutz Medical Campus
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Causes, Impact, and Methods for Mitigation of Covariate Imbalance by Treatment Arm in Stepped Wedge Designs
Erin Leister Chaussee, Colorado School of Public Health; Diane Fairclough, Colorado School of Public Health; Debashis Ghosh, University of Colorado Anschutz Medical Campus
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Baseline-Covariate Adjusted Confidence Interval for Proportional Difference Between Two Treatment Groups in Clinical Trials
JINGJING CHEN, Takeda Pharmaceuticals; Fang Liu, Merck
9:05 AM
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Covariate Assisted Principal Regression for Covariance Matrix Outcomes
Yi Zhao, Johns Hopkins Bloomberg School of Public Health; Bingkai Wang, Johns Hopkins Bloomberg School of Public Health; Stewart Mostofsky, Johns Hopkins University; Brian Caffo, Johns Hopkins Bloomberg School of Public Health; Xi Luo, The University of Texas Health Science Center at Houston
10:35 AM
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Network Meta-Regression for Ordinal Outcomes Under Different Links
Yeongjin Gwon, University of Nebraska Medical Center; Mo May, Amgen Inc; Ming-Hui Chen, University of Connecticut; Zhiyi Chi, University of Connecticut; Juan Li, Eli Lily and Company; Amy Xia, Amgen Inc; Joseph G Ibrahim, UNC
10:50 AM
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Online Batch Decision Making with High-Dimensional Covariates
Chi-Hua Wang, Purdue University; Guang Cheng, Purdue Statistics
11:05 AM
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The P-LOOP Estimator: Covariate Adjustment in Paired Experiments
Edward Wu, University of Michigan; Johann A Gagnon-Bartsch, University of Michigan
2:20 PM
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Learning from Unobserved Covariates for Improved Classification Accuracy
Yujia Pan, University of Michigan; Johann A Gagnon-Bartsch, University of Michigan
2:35 PM
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Thursday, 08/01/2019
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The Impact of Design Variability on Power of Wald-Type Tests for Treatment Comparisons Under Adaptive Designs
Selvakkadunko Selvaratnam, University of Alberta; Alwell Oyet, Memorial University of Newfoundland; Yanqing Yi, Memorial University of Newfoundland
8:50 AM
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Predicting Events from Longitudinal Data: The Imputed Cox Model
James Troendle, National Institutes of Health; Eric Leifer, National Heart,Lung and Blood Institute; Xin Tian, National Heart, Lung and Blood Institute, National Institutes of Health
9:05 AM
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Covariate-Adjusted Tensor Classification in High Dimensions
Qing Mai, Florida State University
9:35 AM
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Misspecification of Covariate Functional Form in the Nested Case-Control Design
Michelle M. Nuño, University of California, Irvine; Daniel L. Gillen, University of California, Irvine
10:05 AM
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Covariate Measurement Error Models, Past Developments and Modern Advancements
Jeffrey S Buzas, University of Vermont
10:35 AM
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Alternatives to Logistic Regression for Detecting Treatment by Covariate Interactions with Binary Endpoints
Radha Railkar, Merck & Co., Inc.; Devan Mehrotra, Merck & Co., Inc
10:50 AM
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Protecting Replicability in the Presence of Auxiliary Covariates
Pallavi Basu, Indian School of Business; Hema Kollipara, Michigan State University (and Indian School of Business)
11:05 AM
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Posterior Inference Under Adaptive Penalization for Quantile Regression
Yuanzhi Li, University of Michigan; Xuming He, University of Michigan
11:20 AM
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