
Keyword Search
Sessions Were Renumbered as of May 19.
Legend:
CC-W = McCormick Place Convention Center, West Building, CC-N = McCormick Place Convention Center, North Building
H = Hilton Chicago, UC= Conference Chicago at University Center
* = applied session ! = JSM meeting theme
|
Keyword Search Criteria: censoring returned 36 record(s)
|
|
Monday, 08/01/2016
|
A Likelihood-Based Approach Using Shared Latent Random Variable Between Longitudinal Process and Censoring Mechanism
Miran Jaffa, American University of Beirut; Ayad A. Jaffa, American University of Beirut
|
On the Maximum Likelihood and Least Squares Estimation for the Inverse Weibull Parameters with Progressively First-Failure Censoring
Amal Helu, Carnegie Mellon University
|
Impact of the Violation of Independent Censoring Assumptions in Restricted Mean Survival Data Analysis for Time-to-Event Data
Eisuke Inoue, National Center for Child Health and Development
|
Test for Conditional Random Signs Censoring in Competing Risks
Shannon Woolley
|
Multivariate Left-Censored Bayesian Model for Predicting Exposure Using Multiple Chemical Predictors During the Deepwater Horizon Oil Spill Clean-Up
Caroline Groth, University of Minnesota; Sudipto Banerjee, University of California at Los Angeles; Gurumurthy Ramachandran, University of Minnesota; Mark R. Stenzel, Exposure Assessment Applications; Dale P. Sandler, National Institute of Environmental Health Sciences; Aaron Blair, National Cancer Institute; Lawrence S. Engel, The University of North Carolina at Chapel Hill; Richard R. Kwok, National Institute of Environmental Health Sciences; Patricia P. Stewart, Stewart Exposure Assessments
|
Joint Scale-Change Models for Recurrent Events and Failure Time
Gongjun Xu, University of Minnesota; Sy Han Chiou, Harvard; Chiung-Yu Huang, The Johns Hopkins University; Mei-Cheng Wang, The Johns Hopkins University; Jun Yan, University of Connecticut
9:00 AM
|
Test for Conditional Random Signs Censoring in Competing Risks
Shannon Woolley
9:45 AM
|
Multivariate Left-Censored Bayesian Model for Predicting Exposure Using Multiple Chemical Predictors During the Deepwater Horizon Oil Spill Clean-Up
Caroline Groth, University of Minnesota; Sudipto Banerjee, University of California at Los Angeles; Gurumurthy Ramachandran, University of Minnesota; Mark R. Stenzel, Exposure Assessment Applications; Dale P. Sandler, National Institute of Environmental Health Sciences; Aaron Blair, National Cancer Institute; Lawrence S. Engel, The University of North Carolina at Chapel Hill; Richard R. Kwok, National Institute of Environmental Health Sciences; Patricia P. Stewart, Stewart Exposure Assessments
10:45 AM
|
Stochastic EM-like Algorithms for Fitting Finite Mixture of Lifetime Regression Models Under Right Censoring
Laurent Bordes; Didier Chauveau, University of Orleans
10:55 AM
|
Modeling Right-Censored Loss Data Using Mixture of Distributions
Tatjana Miljkovic, Miami University; Semhar Michael, South Dakota State University; Volodymyr Melnykov, University of Alabama
11:15 AM
|
Semiparametric Regression Analysis of Interval-Censored Competing Risks Data
Lu Mao, The University of North Carolina at Chapel Hill; Danyu Lin, The University of North Carolina at Chapel Hill; Donglin Zeng, The University of North Carolina at Chapel Hill
11:55 AM
|
|
Tuesday, 08/02/2016
|
Causal Inference with Partial Interference and Right-Censored Outcomes
Sujatro Chakladar; Michael Hudgens, The University of North Carolina at Chapel Hill
|
Causal Effect Among the Exposed: Multiple Data Sources and Censored Outcomes
Parichoy Pal Choudhury, Johns Hopkins Bloomberg School of Public Health; Daniel Scharfstein, Johns Hopkins Bloomberg School of Public Health; Ivan Diaz, Johns Hopkins Bloomberg School of Public Health; Chris McMahan, Clemson University; Xun Luo, Johns Hopkins School of Medicine; Allan Massie, Johns Hopkins School of Medicine; Dorry Segev, Johns Hopkins School of Medicine
9:15 AM
|
Model-Assisted Estimation Using Time-to-Event Models
Benjamin Reist, U.S. Census Bureau
9:20 AM
|
Bayesian Cure Rate Survival Model with Spatially Structured Censoring
Georgiana Onicescu; Andrew B. Lawson, Medical University of South Carolina
10:35 AM
|
Recent Developments in Residual Life Inference
Jong-Hyeon Jeong, University of Pittsburgh
2:25 PM
|
Challenges in the Analysis of Data from Alzheimer's Disease Studies Subject to Censoring
Zhezhen Jin, Columbia University
2:45 PM
|
Some Methods for the Analysis of Informatively Censored Failure Time Data
Jianguo Sun, University of Missouri
3:05 PM
|
Empirical Likelihood Inference for the Odds Ratio of Two Survival Functions Under Right Censoring
Yichuan Zhao, Georgia State University; Meng Zhao, Home Depot; Ian McKeague, Columbia University
3:25 PM
|
|
Wednesday, 08/03/2016
|
Bayesian Threshold Regression for Multivariate Current Status Data with Informative Censoring
Michael Pennell, The Ohio State University; Tao Xiao, Shenzhen University
10:35 AM
|
Analyzing Semi-Competing Risks Data with Missing Cause of Informative Terminal Event
Hong Zhu, The University of Texas Southwestern Medical Center; Renke Zhou, Baylor College of Medicine; Melissa Bondy, Baylor College of Medicine; Jing Ning, MD Anderson Cancer Center
10:55 AM
|
Enhanced Conditional Power and Predictive Power Using Auxiliary Information
Libo Sun, Janssen R&D; Ying Wan, Janssen R&D
11:05 AM
|
Using Inverse Probability of Censoring Weighted Bagging to Adapt Machine-Learning Techniques to Censored Data
Ales Kotalik, University of Minnesota; Julian Wolfson, University of Minnesota; David Vock, University of Minnesota School of Public Health; Gediminas Adomavicius, University of Minnesota; Sunayan Bandyopadhyay, University of Minnesota
11:20 AM
|
Semiparametric Spatial Model for Interval-Censored Data with Time-Varying Covariate Effect
YUE ZHANG, University of Cincinnati; Xia Wang, University of Cincinnati; Bin Zhang, Cincinnati Children's Hospital Medical Center
11:20 AM
|
Adjusting for Dependent Truncation with Inverse Probability Weighting
Jing Qian, University of Massachusetts - Amherst; Rebecca Betensky, Harvard
11:35 AM
|
An Extended Kaplan-Meier Estimator for Time-to-Event Data with Informative Censoring
Misun Yu Lee, Astellas Pharma; Wei Li, Astellas Pharma
2:35 PM
|
Reversed Hazard Parametric Regression Model to Analyze Left-Censored HIV Data
Md Akhtar Hossain, University of South Carolina; Hrishikesh Chakraborty, University of South Carolina
2:50 PM
|
Evaluating the Effect of Delayed PEG Insertion in Patients Diagnosed with ALS via Adaptive Treatment Length Regimes
Xin Lu, Sanofi; Brent Johnson, University of Rochester
3:05 PM
|
Model Validation for Regression with Covariates Subject to Fixed or Random Censoring
Paul Bernhardt, Villanova University
3:35 PM
|
|
|