Keyword Search
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* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Competing Risks returned 22 record(s)
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Sunday, 07/28/2019
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Estimating Uncertainty in Weighted Competing Risk Analyzes
Amber Hackstadt, Vanderbilt University Medical Center; Jonathan Chipman, Vanderbilt University; Christianne L. Roumie , Vanderbilt University Medical Center, Veteran Administration Tennessee Valley VA Health ; Adriana M. Hung, Vanderbilt University Medical Center; Jea Young Min , Vanderbilt University Medical Center; Carlos G Grijalva , Vanderbilt University Medical Center; Marie R Griffin, Vanderbilt University Medical Center; Robert Greevy, Vanderbilt University
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Estimating Uncertainty in Weighted Competing Risk Analyzes
Amber Hackstadt, Vanderbilt University Medical Center; Jonathan Chipman, Vanderbilt University; Christianne L. Roumie , Vanderbilt University Medical Center, Veteran Administration Tennessee Valley VA Health ; Adriana M. Hung, Vanderbilt University Medical Center; Jea Young Min , Vanderbilt University Medical Center; Carlos G Grijalva , Vanderbilt University Medical Center; Marie R Griffin, Vanderbilt University Medical Center; Robert Greevy, Vanderbilt University
3:20 PM
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Monday, 07/29/2019
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A Scalable Algorithm for Joint Modeling of Longitudinal and Competing Risks Time-To-Event Data
Shanpeng Li, UCLA Department of Biostatistics; Eric Kawaguchi, UCLA Department of Biostatistics; Gang Li, UCLA
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A Scalable Algorithm for Joint Modeling of Longitudinal and Competing Risks Time-To-Event Data
Shanpeng Li, UCLA Department of Biostatistics; Eric Kawaguchi, UCLA Department of Biostatistics; Gang Li, UCLA
9:00 AM
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Applying Cure Models with Competing Risks and Complex Censoring Patterns
Jeremy Taylor, University of Michigan; Lauren Beesley, University of Michigan
9:35 AM
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Weighting Estimators for Cox Regression for Studying Etiological Heterogeneity with Partially Observed Multiple Markers
Jooyoung Lee, Harvard T.H. Chan School of Public Health; Molin Wang, Harvard T.H. Chan School of Public Health
11:20 AM
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Accounting for Preinvasive Conditions in the Analysis of Cancer Risk: With Application to Breast Cancer and the Sister Study
Jung In Kim, NIEHS/UNC; Jason Fine, University of North Carolina - Chapel Hill; Shanshan Zhao, National Institute of Environmental Health Sciences
2:05 PM
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A Fast and Scalable Sparse Regression Method for Competing Risks Data
Eric Kawaguchi, UCLA Department of Biostatistics; Marc Suchard, UCLA; Gang Li, UCLA; Jenny I. Shen, University of California, Los Angeles
2:05 PM
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Cross-Sectional Length-Biased Semi-Competing Risks Data
Alexander C McLain, University of South Carolina; Jiajia Zhang, University of South Carolina; Marie Thoma, University of Maryland
2:20 PM
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Instrumental Variable Estimation of Exposure Effects for Competing Risks Data Using a Semiparametric Mixture Component Model
Sai Dharmarajan, Food and Drug Administration; Douglas Schaubel, University of Michigan
2:35 PM
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Concordance Index for Competing Risks Data in Discrete Time
Natalia A. Gouskova, Marcus Institute for Aging Research; Thomas G. Travison, Marcus Institute for Aging Research
3:20 PM
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Model Checking for Subdistribution Hazards Model Under Case-Cohort Design
Yayun Xu, Medical College of Wisconsin; Mei-Jie Zhang, Medical College of Wisconsin; Soyoung Kim, Medical College of Wisconsin
3:35 PM
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Tuesday, 07/30/2019
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Planning and Analyzing Clinical Trials with Competing Risks: Recommendations for Choosing Appropriate Statistical Methodology
Misun Yu Lee, Astellas Pharma; Joseph Poythress, University of Georgia; James Young, Astellas Pharma
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A Class of Proportional Win Fractions Regression Models for Composite Endpoints
Lu Mao, University of Wisconsin-Madison
8:35 AM
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Estimations of the Joint Distribution of Failure Time and Failure Type with Prevalent Survival Data
Yu-Jen Cheng, National Tsing Hua University; Mei-Cheng Wang, Johns Hopkins University; Chang-Yu Tsai, National Tsing Hua University
8:35 AM
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Tailored Optimal Post-Treatment Surveillance for Cancer Recurrence
Rui Chen, UW-Madison Dept. of Statistics; Menggang Yu, University of Wisconsin-Madison
9:55 AM
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Planning and Analyzing Clinical Trials with Competing Risks: Recommendations for Choosing Appropriate Statistical Methodology
Misun Yu Lee, Astellas Pharma; Joseph Poythress, University of Georgia; James Young, Astellas Pharma
11:50 AM
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Estimating Cross Quantile Residual Ratio with Left-Truncated Semi-Competing Risks Data
Jing Yang, Merck & Co., Inc; Limin Peng, Emory University
2:05 PM
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Penalized H-Likelihood Approaches for Various Random-Effects Survival Models
Il Do Ha, Pukyong National University; Youngjo Lee, Seoul National University
2:25 PM
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Bayesian Joint Models for Longitudinal and Competing Risks Data
Allison Furgal, University of Michigan Biostatistics; Ananda Sen, University of Michigan; Jeremy Taylor, University of Michigan
2:50 PM
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Going Viral, Binge Watching, and Attention Cannibalism
Natalie Blades, Brigham Young University; Scott Grimshaw, Brigham Young University; Candace J. Berrett, Brigham Young University
3:35 PM
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