Keyword Search
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CC = Vancouver Convention Centre F = Fairmont Waterfront Vancouver
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: covariates returned 37 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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A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates
Yidan Sun
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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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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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A Tight Spectral Clustering Algorithm for Bipartite Networks with Node Covariates
Yidan Sun
3:45 PM
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Monday, 07/30/2018
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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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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