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Activity Details

211 Tue, 8/10/2021, 1:30 PM - 3:20 PM Virtual
Disease Prediction — Contributed Speed
Section on Statistics in Epidemiology
Chair(s): Lili Wu, North Carolina State University
1:35 PM The Interplay of Demographic Variables and Social Distancing Scores in Deep Prediction of US COVID-19 Cases
Francesca Tang, Princeton University; Yang Feng, New York University; Hamza Chiheb, N/A; Jianqing Fan , Princeton University
1:40 PM Modeling Influenza and COVID-19-Associated US Hospitalization Rates to Adjust for Reporting Delays
Alissa O'Halloran, CDC; Michael Whitaker, CDC; Michael Johansson, CDC; Rebecca Kahn, CDC; Fiona Havers, CDC; Shikha Garg, CDC
1:45 PM BayesSMEG: Bayesian Segmentation Modeling for Epidemic Growth
Tejasv Bedi, University of Texas at Dallas; Qiwei Li, The University of Texas at Dallas
1:50 PM Inference on the Dynamics of the COVID Pandemic from Observational Data
Satarupa Bhattacharjee, University of California Davis
1:55 PM Breast Cancer Among Asian Indian and Pakistani Women in the US: A SEER-Based Study
Jaya Satagopan, Rutgers University; Antoinette Stroup, Rutgers School of Public Health; Anita Kinney, Rutgers School of Public Health; Tina Dharamdasani, Rutgers School of Public Health; Shridar Ganesan, Rutgers Cancer Institute of New Jersey; Elisa Bandera, Rutgers Cancer Institute of New Jersey
2:00 PM Predicting the Risk of Clinical Events Using Longitudinal Data: The Generalized Landmark Analysis
Yi Yao, The University of Texas MD Anderson Cancer Center; Brad Astor, University of Wisconsin; Tom Greene, University of Utah; Wei Yang, University of Pennsylvania; Liang Li, The University of Texas MD Anderson Cancer Center
2:05 PM Estimation of Local Time-Varying Reproduction Numbers with Noisy Surveillance Data
Wenrui Li, Boston University ; Katia Bulekova, Boston University; Brian Gregor, Boston University ; Laura White, Boston University School of Public Health; Eric Kolaczyk, Boston University
2:10 PM Two-Stage Model for Time to Breast Cancer Mortality Among a Cohort of Initially Disease-Free Women
Bernard Rosner, Harvard Medical School/School of Public Health; Robert Glynn, Harvard Medical School; Heather Eliassen, Harvard Medical School/School of Public Health; Susan Hankinson, Harvard Medical School/School of Public Health/UMass-Amherst; Rulla Tamimi, Harvard Medical School/School of Public Health/Weill Cornell Medical School ; Wendy C Chen, Harvard Medical School/Brigham and Women's Hospital/Dana Farber Cancer Institute; Michelle Holmes, Harvard Medical School/School of Public Health; Yi Mu, Harvard Medical School/Brigham and Women's Hospital; Graham A Colditz, Washington University School of Medicine; Walter C Willett, Harvard Medical School/School of Public Health; Shelley S Tworoger, Moffitt Cancer Center
2:15 PM Bayesian Disease Mapping of COVID-19 Cases in Counties of Minnesota, US
Jingxin Lei, University of British Columbia; Ying C MacNab, University of British Columbia
2:20 PM A Modified Multi-Strain SIR Model for Emerging Viral Strains
Miguel Fudolig, University of Nebraska-Lincoln; Reka Howard, University of Nebraska - Lincoln
2:30 PM Flexible Lehman Family ROC Curves
Soutik Ghosal, NICHD/NIH; Zhen Chen, NICHD/NIH
2:35 PM Two-Stream Capture-Recapture Method with Accounting for Misclassification
Lin Ge, Emory University; Robert H Lyles, Emory University; Lance Waller, Emory University; Yuzi Zhang, Department of Biostatistics and Bioinformatics, RSPH of Emory University; Timothy Lash, Emory University; Kevin Ward, Emory University
2:40 PM Determining the Appropriate Model for Characterizing Risk Effect Interactions
Jimmy Thomas Efird, CSPEC/HSR&D/DVAHCS
2:45 PM Extended SIR Model for COVID-19 Incidences in the USA and South Korea
Idamawatte Gedara Chamari Geethani Idamawatta, North Dakota Sate University; Bong-Jin Choi, North Dakota State University
2:50 PM Continuous Time MCMC Model for Transmission of Infectious Diseases in Close Contact Groups
Hasibul Hasan, University of Florida; Yang Yang, University of Florida; Eben Kenah, The Ohio State University
2:55 PM A Bayesian Joint Polyp Profile Model for the Longitudinal Development of Colorectal Cancer (CRC) Precursors That Incorporates a Patient’s Entire History of Colonoscopic Findings
Cameron Miller, Cooperative Studies Program Epidemiology Center-Durham; Brian Sullivan, Duke University; Xuejun Qin, Duke University; Thomas Redding, Cooperative Studies Program Epidemiology Center-Durham; Jimmy Thomas Efird, CSPEC/HSR&D/DVAHCS; Ashton Madison, Cooperative Studies Program Epidemiology Center-Durham; Kellie Sims, Cooperative Studies Program Epidemiology Center-Durham; Christina D. Williams, Cooperative Studies Program Epidemiology Center-Durham; Elizabeth Kobe, Cooperative Studies Program Epidemiology Center-Durham; David Weiss, Perry Point VA Medical Center; David Lieberman, VA Portland Health Care System; Dawn Provenzale, Cooperative Studies Program Epidemiology Center-Durham; Elizabeth Hauser, Duke University
3:00 PM A Space-Time Model for Inferring Point-Level Susceptibility to Infectious Diseases
Xiaoxiao Li, Pennsylvania State University; Matthew Ferrari, Pennsylvania State University; Murali Haran, Pennsylvania State University
3:05 PM A dynamic risk model for multi-type recurrent events
Alokananda Ghosh, The Biostatistics Center; Wenyaw Chan, UTHealth; Naji Younes, The Biostatistics Center; Barry R. Davis, UTHealth
3:10 PM A Zero-State Coupled Markov Switching Poisson Model for Spatio-Temporal Infectious Disease Counts
Dirk Douwes-Schultz, McGill; Alexandra Schmidt, McGill
3:15 PM Comparison of Platforms for Testing Antibodies to Chlamydia Trachomatis Antigens in the Democratic Republic of the Congo and Togo
Jessica Hoehner, Leidos, Inc.