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Keyword Search Criteria: covariate returned 84 record(s)
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Sunday, 07/29/2018
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Spatio-Temporal Analysis of Children and Adolescents' Emergency Department Use for Mental Health Reasons in Alberta, Canada
Michelle Thiessen, Simon Fraser University; Joan Hu, Simon Fraser University; Rhonda J. Rosychuk, University of Alberta
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Inference for Fine-Gray Competing Risks Model with High-Dimensional Covariates
Jue Hou, UCSD Biostatistics; Jelena Bradic, UC San Diego; Ronghui Xu, UC San Diego
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The Analysis of Means in the Presence of Covariate (ANOMC)
Tahir Mahmood, City University of Hong Kong; Min Xie, City University of Hong Kong; Muhammad Riaz, King Fahd University of Petroleum and Minerals
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Adjusting for Covariate Measurement Error in Failure Time Analysis Under Competing Risks
Carrie Caswell, University of Pennsylvania; Sharon X Xie, University of Pennsylvania
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A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates
Yidan Sun
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Optimal Covariate Weighting Increases Discoveries in High-Throughput Biology
Paul Schliekelman, University of Georgia; Mohamad Hasan, University of Georgia
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Time-Dependent Covariates in Recurrent Event Models
Xianghua Luo, University of Minnesota, School of Public Health; Tianmeng Lyu, University of Minnesota; Yifei Sun, Columbia University; Chiung-Yu Huang, University of California at San Francisco
2:05 PM
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Adjusting for Covariate Measurement Error in Failure Time Analysis Under Competing Risks
Carrie Caswell, University of Pennsylvania; Sharon X Xie, University of Pennsylvania
2:15 PM
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High-Dimensional Gaussian Graphical Model for Network-Linked Data
Ji Zhu, University of Michigan; Boang Liu, University of Michigan; Tianxi Li, University of Michigan; Cheng Qian, University of Michigan; Elizaveta Levina, University of Michigan
2:45 PM
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Optimal Scaling for a Logistic Regression Model with Ordinal Covariates
Sanne JW Willems, Leiden University; Marta Fiocco, Leiden University; Jacqueline J Meulman, Leiden University & Stanford University
3:05 PM
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Inference for Fine-Gray Competing Risks Model with High-Dimensional Covariates
Jue Hou, UCSD Biostatistics; Jelena Bradic, UC San Diego; Ronghui Xu, UC San Diego
3:15 PM
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The Analysis of Means in the Presence of Covariate (ANOMC)
Tahir Mahmood, City University of Hong Kong; Min Xie, City University of Hong Kong; Muhammad Riaz, King Fahd University of Petroleum and Minerals
3:20 PM
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Optimal Covariate Weighting Increases Discoveries in High-Throughput Biology
Paul Schliekelman, University of Georgia; Mohamad Hasan, University of Georgia
3:25 PM
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A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates
Yidan Sun
3:45 PM
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Tilted Covariate and Mediator Balancing
Kwun Chuen Gary Chan, University of Washington
4:05 PM
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Generalized Linear Models with Multiple Longitudinal Covariate Processes
Erning Li, University of Iowa
5:35 PM
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Monday, 07/30/2018
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Graphing Effect Sizes or Regression Coefficients on a Probability Scale to Enhance Interpretation of Relative Magnitudes
Clark Andersen, UTMB
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Estimation of Individualized Decision Rules Based on an Optimized Covariate-Dependent Equivalent of Random Outcomes
Zhengling Qi, University of North Carolina, at Chapel Hill; Ying Cui, University of Southern California; Yufeng Liu, University of North Carolina at Chapel Hill; Jong-Shi Pang, University of Southern California
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Covariate-Adjusted Tensor Classification in High-Dimensions
Yuqing Pan, Florida State University; Qing Mai, Florida State University; Xin Zhang, Florida State University
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A Pair Correlation Function for Non-Stationary Spatial Point Processes Which Depends on Covariates
Zhiji Tang, Florida State University
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Sound and Solid Selection of Covariates - a Simulation Study
Kira Dynnes Svendsen, Technical University of Denmark; Nina Munkholt Jakobsen, Technical University of Denmark
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Machine-Learning Approach to Defining Covariates to Increase Study Power in ALS Clinical Trials and Other Multifactorial Heterogeneous Disease Areas
Danielle Beaulieu, Origent Data Sciences; Albert Taylor, Origent Data Sciences; Samad Jahandideh, Origent Data Sciences; David Ennist, Origent Data Sciences; Andrew Conklin, Origent Data Sciences; Mike Keymer, Origent Data Sciences
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Power Evaluation for Covariate Balancing Propensity Score Methods
Byeong Yeob Choi, University of Texas Health Science Center at San Antonio; Chen-Pin Wang, University of Texas Health San Antonio; Joel Michalek, University of Texas Health Science Center at San Antonio; Jonathan Gelfond, University of Texas Health San Antonio
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Efficient Design and Analysis of Cluster Randomized Trials
Hengshi Yu, University of Michigan, Ann Arbor; Fan Li, Duke Univeristy; John A. Gallis, Duke University; Elizabeth L. Turner, Duke Global Health Institutes
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Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
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Modeling a Longitudinal Covariate as Continuous Time Markov Chain in a Survival Framework
Ting-Yu Chen, The University of Texas Health Science Center at Houston; Wenyaw Chan, University of Texas Health Science Center at Houston; Qiuling Shi, The University of Texas MD Anderson Cancer Center; Xin Shelley Wang, The University of Texas MD Anderson Cancer Center; Charles Cleeland, The University of Texas MD Anderson Cancer Center
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A Bayesian Logistic Model with Covariate to Identify Optimal Dose for Heterogeneous Population in Phase I Oncology Trial
Xin Wei, Celgene Corporation; Michael Branson, celgene corporation
8:50 AM
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Propensity Score Analysis for Subgroup Effects with Correlated Covariates
Shan-Yu Liu, UCSF; Bo Lu, The Ohio State University; Chunyan Liu, CCHMC; Edward Nehus, CCHMC; Maurizio Macaluso, CCHMC; Mi-Ok Kim, University of California San Francisco
9:05 AM
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Testing Factor-Covariate Interaction in Rank Repeated-Measures Analysis of Covariance ModelsTesting Factor-Covariate Interaction in Rank Repeated-Measures Analysis of Covariance Mo
Donghui Zhang, Sanofi; Chunpeng Fan, Sanofi
9:50 AM
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Modeling a Longitudinal Covariate as Continuous Time Markov Chain in a Survival Framework
Ting-Yu Chen, The University of Texas Health Science Center at Houston; Wenyaw Chan, University of Texas Health Science Center at Houston; Qiuling Shi, The University of Texas MD Anderson Cancer Center; Xin Shelley Wang, The University of Texas MD Anderson Cancer Center; Charles Cleeland, The University of Texas MD Anderson Cancer Center
10:45 AM
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Gradient-Based Approach to Sufficient Dimension Reduction for Functional and Longitudinal Data
Ming-Yueh Huang, Academia Sinica; Kwun Chuen Gary Chan, University of Washington
10:50 AM
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Multiply Robust Estimation of Causal Quantile Treatment Effects
Yuying Xie, University of Waterloo; Cecilia Cotton, University of Waterloo; Yeying Zhu, University of Waterloo
10:50 AM
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Covariate Selection for Generalizing Experimental Results
Erin Hartman, UCLA; Naoki Egami, Princeton University
10:55 AM
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Efficient Design and Analysis of Cluster Randomized Trials
Hengshi Yu, University of Michigan, Ann Arbor; Fan Li, Duke Univeristy; John A. Gallis, Duke University; Elizabeth L. Turner, Duke Global Health Institutes
11:00 AM
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Variable Selection in Partially Linear Additive Hazards Model with Grouped Covariates and a Diverging Number of Parameters
Xuewen Lu, University of Calgary; Arfan Afzal, University of Calgary
11:15 AM
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Power Evaluation for Covariate Balancing Propensity Score Methods
Byeong Yeob Choi, University of Texas Health Science Center at San Antonio; Chen-Pin Wang, University of Texas Health San Antonio; Joel Michalek, University of Texas Health Science Center at San Antonio; Jonathan Gelfond, University of Texas Health San Antonio
11:30 AM
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Covariate-Adjusted Recurrent Processes on Network and an Application to Geyser Eruption Prediction
Zhongnan Jin, Virginia Tech; Yili Hong, Virginia Tech
11:40 AM
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A Regression Model of Cumulative Incidence for Competing Risks Data with Time-Dependent Exposures
Xingyuan Li, University of Pittsburgh; Joyce Chung-Chou H Chang, University of Pittsburgh
12:05 PM
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A Location-Adjusted Approach to the Covariate-Adjusted Response-Adaptive Allocation Design in Multi-Center Trials
Brian S Di Pace, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University
2:10 PM
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Determine Appropriate Sample Size for a Biomarker Signature Discovery Problem Using Penalized Regression
Xiang Li, Statistics and Decision Sciences, Janssen Research & Development, LLC; Hong Tian, Janssen Pharmaceutical; Liang Xiu, Janssen Research & Development, LLC
2:20 PM
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Network Augmented Classification
Boang Liu, University of Michigan; Ji Zhu, University of Michigan
3:25 PM
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Linear Regression Models with Ordered Categorical Covariates
Julia (Kelsall) Crook, Mayo Clinic
3:35 PM
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Tuesday, 07/31/2018
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Generating Survival Times Using Cox Proportional Hazards Models with Cyclic Time-Varying Covariates
Yunda Huang, Fred Hutchinson Cancer Research Center; Lily Zhang, Fred Hutchinson Cancer Research Center; Zong Zhang, Interlake High School; Peter Gilbert, Fred Hutchinson Cancer Research Center
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Index of Local Sensitivity to Non-Ignorability for Longitudinal Data with Non-Monotone Missingness
Chengbo Yuan, University of Illinois at Chicago; Donald Hedeker, University of Chicago; Robin Mermelstein, University of Illinois at Chicago; Hui Xie, SPH,University of Illinois at Chicago and Faculty of Simon Fraser University
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Clinical Trial Design Comparison with Covariate-Adjusted and Response Adaptive Randomization
Wei Qiao, The University of Texas M.D. Anderson; Xuelin Huang, University of Texas MD Anderson Cancer Center; Jing Ning, The University of Texas M.D. Anderson Cancer Center
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Understanding Rerandomization Through Simulation
Crystal Shaw, UCLA; Thomas Belin, UCLA
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Determine Appropriate Sample Size for a Biomarker Signature Discovery Problem Using Penalized Regression
Xiang Li, Statistics and Decision Sciences, Janssen Research & Development, LLC; Hong Tian, Janssen Pharmaceutical; Liang Xiu, Janssen Research & Development, LLC
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A Location-Adjusted Approach to the Covariate-Adjusted Response-Adaptive Allocation Design in Multi-Center Trials
Brian S Di Pace, Virginia Commonwealth University; Roy T Sabo, Virginia Commonwealth University; David C. Wheeler, Virginia Commonwealth University
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A Machine Learning (ML) Approach to Prognostic and Predictive Covariate Identification for Subgroup Analysis and Hypotheses Generation
David A James, Novartis
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Scrutiny of Inference on Generalized Linear Models with High-Dimensional Covariates
Lu Xia, University of Michigan; Bin Nan, University of California, Irvine; Yi Li, University of Michigan
8:35 AM
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Robust Combination of Biomarkers for Classification with Covariate Adjustment
Ying Huang, Fred Hutchinson Cancer Research Center; Soyoung Kim, Medical College of Wisconsin
8:55 AM
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An Application of Covariate-Adjusted Partial Spearman's Rank Correlations with Probability-Scale Residuals
Cathy A Jenkins, Vanderbilt University Medical Center; John R Koethe, Vanderbilt University School of Medicine; Timothy R Sterling, Vanderbilt University School of Medicine; Spyros A Kalams, Vanderbilt University School of Medicine; Bryan E Shepherd, Vanderbilt University School of Medicine
11:05 AM
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The Welch's T-Test with Covariates
Cong Cao, The University of Texas at Dallas; Markus Pauly, Ulm University; Frank Konietschke, The University of Texas at Dallas
11:20 AM
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The Statistical Performance of Matching-Adjusted Indirect Comparisons
David Cheng, Harvard University; Rajeev Ayyagari, Analysis Group; Timothy Juday, Allergan; Angelina Villasis Keever, Janssen Research and Development; James Signorovitch, Analysis Group
11:35 AM
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A Machine Learning (ML) Approach to Prognostic and Predictive Covariate Identification for Subgroup Analysis and Hypotheses Generation
David A James, Novartis
11:35 AM
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Recurrent Events Analysis Using Landmark Andersen-Gill Model with Time-Varying Covariates
Zheyu Liu, Bayer Pharmaceuticals; Vivian Lanius, Bayer AG; Dejian Lai, The University of Texas Health Science Center at Houston
11:50 AM
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Bayesian Inference for the Relationship Between Two Categorical Variables with Covariates for Clustered Data
Dilli Bhatta, University of South Carolina Upstate
11:55 AM
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Dynamic, Personalized Instruments via Responsive Matrix Sampling with High-Dimensional Covariates
Sean Taylor, Facebook; Curtiss Cobb, Facebook; Chelsea Zhang, UC Berkeley
2:35 PM
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General Regression Model for the Subdistribution of a Competing Risk Under Left-Truncation and Right-Censoring
Anna Bellach, Fred Hutch Cancer Research Center; Michael Kosorok, University of North Carolina at Chapel Hill; Peter Gilbert, Fred Hutchinson Cancer Research Center; Jason P Fine, University of North Carolina at Chapel Hill
2:35 PM
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A Nonlinear Model for Censored and Mis-Measured Time-Varying Covariates in Survival Models, with Applications in HIV/AIDS Studies
Hongbin Zhang, City University of New York, School of Public Health; Lang Wu, University of British Columbia
2:50 PM
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Dynamic Prediction for Patients with High-Grade Extremity Soft Tissue Sarcoma
Anja Rueten-Budde, Leiden University; Marta Fiocco, Leiden University
2:50 PM
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Wednesday, 08/01/2018
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Accounting for Unobserved Covariates with Varying Degrees of Estimability in High-Dimensional Data
Chris McKennan, University of Chicago; Dan Nicolae, University of Chicago
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The Impact of Analysis Method and Model Specification for Handling Missing Covariate Data in Survival Analysis: a Case Study
Evon Okidi, Brown University; Joseph W Hogan, Brown University School of Public Health; Chanelle Howe, Brown University
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A Nonlinear Model for Truncated and Mismeasured Time-Varying Covariates in Joint Models for Longitudinal and Survival Data
Lang Wu, University of British Columbia
8:35 AM
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Model Compatible Multiple Imputation Method for Minimizing the Impact of Covariate Detection Limit in Logistic Regression
Shahadut Hossain, UAE University
8:35 AM
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Incorporating Intermediary Information in Cox Models of Randomized Clinical Trials: The Information Balanced Intermediary Cox Model
James Troendle, National Institutes of Health; Eric Leifer, National Heart, Lung, and Blood Institute; Lauren Kunz, National Heart, Lung, and Blood Institute; Song Yang, NHLBI/NIH
8:50 AM
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Censored Threshold Regression with Diverging Number of Covariates
Takumi Saegusa, University of Maryland; Mei-Ling Ting Lee, University of Maryland
9:35 AM
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A Comparison of Multiple Imputation by Fully Conditional Specification and Joint Modeling for Generalized Linear Models with Covariates Subject to Detection Limits
Paul Bernhardt, Villanova University
9:35 AM
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Matching Methods for Causal Inference with Time-Series Cross-Section Data
Kosuke Imai, Princeton University; Erik Wang, Princeton University; In Song Kim, MIT
10:35 AM
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Time-To-Event Data with Time-Varying Biomarkers Measured Only at Study Entry, with Applications to Alzheimer's Disease
Catherine Lee, Kaiser Permanente Division of Research; Rebecca A. Betensky, Harvard School of Public Health
10:50 AM
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Scalar-On-Function Prediction Models with Missing Covariates: Applications in Depression Research Using EEG and Clinical Data
Adam Ciarleglio, Columbia University and the New York State Psychiatric Institute; Eva Petkova, NYU School of Medicine
11:15 AM
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Inference for Covariate-Adjusted Semiparametric Gaussian Copula Model Using Residual Ranks
Yue Zhao, KU Leuven; Irene Gijbels, KU Leuven; Ingrid Van Keilegom, KU Leuven
11:20 AM
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Bayesian Hierarchical Multi-Population Multistate Jolly¬Seber Models with Covariates: Application to the Pallid Sturgeon Population Assessment Program
Guohui Wu, SAS Institute Inc.; Scott H. Holan, University of Missouri/U.S. Census Bureau
2:05 PM
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Evaluating Disease Prediction Models Using a Cohort Whose Covariate Distribution Differs from That of the Target Population
Alice S Whittemore, Stanford University
2:55 PM
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Model-Based Crop Yield Forecasting: Adjustment for Within-State Heterogeneity, Covariate Selection and Variance Estimation
Habtamu Benecha, USDA National Agricultural Statistics Service; Nathan Cruze, USDA National Agricultural Statistics Service; Nell Sedransk, National Institute of Statistical Sciences (NISS)
3:20 PM
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Thursday, 08/02/2018
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Repeated Within-Subject Distributions with Covariates and Censoring: a Neuroscience Application
Ryan Kelly, University of Pittsburgh; Allan Sampson, University of Pittsburgh; Rob Sweet, University of Pittsburgh; Ken Fish, University of Pittsburgh; David Lewis, University of Pittsburgh
8:50 AM
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Community Detection with Covariate Information
Yang Feng, Columbia University
8:55 AM
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Finding and Combining Multiple Designed Data Sets for Estimating Causal Effects in Observational Studies
Zach Branson, Harvard University; Marie-Abele Bind, Harvard University
9:20 AM
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Evaluation of Statistical Methods for Survival Analysis with Time-Dependent Variables
Chris Holland, Amgen; Qui Tran, Amgen; Cassie Dong, Amgen
9:20 AM
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Lasso Estimation of Hierarchical Interactions for Analyzing Heterogeneous Treatment Effect
Yu Du, Johns Hopkins Bloomberg School of Public Health; Ravi Varadhan, Johns Hopkins University
9:50 AM
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Covariate Information for Sure Independence Feature Screening in Ultrahigh- Dimensional Supervised Problems
Debmalya Nandy, The Pennsylvania State University; Francesca Chiaromonte, The Pennsylvania State University; Runze Li, The Pennsylvania State University
10:35 AM
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Bayesian Network Meta-Regression Models Using Heavy-Tailed Multivariate Random Effects with Covariate-Dependent Variances
Ming-Hui Chen, University of Connecticut; Hao Li, University of Connecticut; Joseph G Ibrahim, University of North Carolina Chapel Hill; Sung Duk Kim, National Cancer Institute; Arvind K. Shah, MRL, Merck & Co., Inc.; Jianxin Lin, MRL, Merck & Co., Inc.; Andrew M. Tershakovec, MRL, Merck & Co., Inc.
11:15 AM
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Bayesian Single-Index Model for Bounded Mental Health Response with Functional Covariates
Debajyoti Sinha, Florida State University; STUART LIPSITZ, HARVARD MEDICAL SCHOOL
11:50 AM
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On the Parameter Estimation and Modeling of Clustered Survival Data with Delayed Entry and Missing Covariates
Hua Shen, University of Calgary
11:55 AM
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