Keyword Search
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CC = Baltimore Convention Center, H = Hilton Baltimore
* = applied session ! = JSM meeting theme
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Keyword Search Criteria: incidence returned 15 record(s)
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Monday, 07/31/2017
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Biomarker-Based Cross-Sectional Incidence Estimation with Incomplete Data
Douglas Ezra Morrison, UCLA; Ron Brookmeyer, UCLA; Oliver Laeyendecker, Johns Hopkins University; Jacob Konikoff
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Inverse Probability of Treatment Weighted Estimator for Exposure Adjusted Incidence Rate Ratio for Rare Adverse Event in Pooled Studies Controlling for Confounding by Study
Hui Wang, Astrazeneca; Sudipta Bhattacharya, AstraZeneca
9:20 AM
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Meta-Analysis of Incidence of Rare Events Using Individual Patient-Level Data
Chen Chen, The George Washington University; Yan Ma, The George Washington University; Yong Ma, FDA/CDER/OTS/OB/DB VII
10:35 AM
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Estimation of the Cumulative Incidence Function Under Multiple Dependent and Independent Censoring Mechanisms
Judith Lok, Harvard T H Chan School of Public Health; Shu Yang, North Carolina State University; Brian Sharkey, NA; Michael Hughes, Harvard
11:35 AM
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Biomarker-Based Cross-Sectional Incidence Estimation with Incomplete Data
Douglas Ezra Morrison, UCLA; Ron Brookmeyer, UCLA; Oliver Laeyendecker, Johns Hopkins University; Jacob Konikoff
11:45 AM
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Tuesday, 08/01/2017
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A Method for Spatio-Temporal Back-Calculation of Cancer Incidence Rate
Nisheet Nautiyal; Theodore Holford, Yale University
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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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A Method for Spatio-Temporal Back-Calculation of Cancer Incidence Rate
Nisheet Nautiyal; Theodore Holford, Yale University
8:45 AM
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Comparison of HIV Incidence Estimators That Use the Number of Diagnoses Reported to a Surveillance
Ruiguang Song, Centers for Disease Control and Prevention; Betsy Gunnels, CDC
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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Segmented regression modeling of tuberculosis incidence surveillance data in the U.S. to analyze potentially changing trends
Brock Stewart, Centers for Disease Control and Prevention; Lori Armstrong, Centers for Disease Control and Prevention; Carla Winston, Centers for Disease Control and Prevention
11:05 AM
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Modeling Power to Detect Changes in HIV Incidence Through Routine ANC Attendance Data
Britta J. Jewell, UC Berkeley; Jennifer Smith, Imperial College London; Timothy B. Hallett, Imperial College London; Ann Duerr, Fred Hutchinson Cancer Research Center
2:55 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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