Keyword Search
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* = applied session ! = JSM meeting theme
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Keyword Search Criteria: Hazard returned 29 record(s)
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Monday, 07/31/2017
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Event Rate Estimation Based on Blinded Time-To-Event Data to Verify Sample Size Calculation Assumptions
Youlan Rao, United Therapeutics Corporation, Durham, NC; Suhyun Kang, North Carolina State University, Raleigh, NC; Jody Cleveland, United Therapeutics Corporation, Durham, NC; Chunqin Deng, United Therapeutics Corporation, Durham, NC
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A Simulation Based Clinical Trial Design for Time-To-Event Endpoint Using the Concept of Relative Time Utilizing the Generalized Integer Gamma Distribution
Milind Phadnis
8:50 AM
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Evaluation of Hazard Ratio Estimators of Survival Data
Gang Li, Johnson & Johnson; Yining Wang, Johnson & Johnson; Weichung Joe Shih, Rutgers School of Public Health
9:20 AM
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Splice Plots for Assessing the Fit of Proportional Hazards Models
David Nelson, Dept Veterans Affairs, Univ Minnesota; Siamak Noorbaloochi, VA Health Care System
10:35 AM
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Unified Methods for Variable Selection in Large-Scale Genomic Studies with Censored Survival Outcomes
Lauren Spirko, Temple University; Karthik Devarajan, Fox Chase Cancer Center
3:05 PM
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Tuesday, 08/01/2017
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Power Comparison of Tests of Restricted Mean Survival Time with Log-Rank Test and Generalized Wilcoxon Test Under Various Survival Distributions
Musashi Fukuda, Astellas Pharma Inc.; Yutaka Matsuyama, Department of Biostatistics, School of Public Health, The University of Tokyo
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A Case Study Evaluating Time Varying Covariate and Competing Risk for Efficacy Evaluation in Survival Analyses
Yang Xu, BioStat Solutions, Inc.
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On the Hazard Function of Kumaraswamy Distribution and Associated Inference
Rajarshi Dey, University of South Alabama; Nutan Mishra, University of south alabama
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Sample Size for Joint Testing Cause-Specific Hazard and Overall Hazard in the Presence of Competing Risks
Qing Yang, Duke University; Gang Li, University of California, Los Angeles
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Sample Size for Joint Testing Cause-Specific Hazard and Overall Hazard in the Presence of Competing Risks
Qing Yang, Duke University; Gang Li, University of California, Los Angeles
8:40 AM
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Robust Estimation in Additive Hazards Models
Oliver Dukes, Ghent University; Stijn Vansteelandt, Ghent University; Torben Martinussen, University of Copenhagen; Eric Tchetgen Tchetgen, Harvard University
8:50 AM
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A Divide-And-Conquer Approach for Survival Analysis in Big Data
Shou-En Lu, Rutgers Department of Biostatistics; Jerry Q. Cheng, Rutgers Cardiovascular Institute of New Jersey; Minge Xie, Rutgers University
8:50 AM
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Power Comparison of Tests of Restricted Mean Survival Time with Log-Rank Test and Generalized Wilcoxon Test Under Various Survival Distributions
Musashi Fukuda, Astellas Pharma Inc.; Yutaka Matsuyama, Department of Biostatistics, School of Public Health, The University of Tokyo
9:30 AM
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Flexible parametric approach to classical measurement error variance estimation without auxiliary data
Ingrid Van Keilegom, ORSTAT, KU LEUVEN
10:35 AM
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A Case Study Evaluating Time Varying Covariate and Competing Risk for Efficacy Evaluation in Survival Analyses
Yang Xu, BioStat Solutions, Inc.
10:40 AM
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On the Hazard Function of Kumaraswamy Distribution and Associated Inference
Rajarshi Dey, University of South Alabama; Nutan Mishra, University of south alabama
11:55 AM
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The Cost of Comparing Survival Curves Using Multiple Measures
Godwin Yung, Takeda Pharmaceutical; Yi Liu, Takeda; Mingxiu Hu, Takeda Pharmaceutical
2:05 PM
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A Versatile Test Based on Restricted Mean Survival Time for Time-To-Event Outcomes
Miki Horiguchi, Kitasato University; Hajime Uno, Dana Farber Cancer Institute
2:20 PM
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A Comparison of Statistical Methods to Evaluate the Relationship Between Gestational Weight Gain and Gestational Age at Birth
Lucia Petito, University of California, Berkeley; Nicholas P. Jewell, University of California, Berkeley
2:35 PM
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Dealing with Competing Risks in Clinical Trials: What Are the Proper Questions to Ask and How Best to Answer Them?
James Troendle, National Institutes of Health; Eric Leifer, NIH; Lauren Kunz, NIH
3:20 PM
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