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Epidemiology (Cambridge, Mass.)|July 15, 2015
Model Selection of the Effect of Binary Exposures over the Life CourseAndrew D A C Smith, Jon Heron, Gita Mishra, et al.Epidemiology (Cambridge, Mass.)|May 27, 2015
A Simple Regression-based Approach to Account for Survival Bias in Birth Outcomes ResearchEric J Tchetgen Tchetgen, Kelesitse Phiri, Roger ShapiroEpidemiology (Cambridge, Mass.)|August 4, 2016
Long-term Recall of Time to PregnancyAnne Marie Z Jukic, D Robert McConnaughey, Clarice R Weinberg, et al.Epidemiology (Cambridge, Mass.)|August 9, 2022
SARS-CoV-2 Outbreak Dynamics in an Isolated US Military Recruit Training Center With Rigorous Prevention MeasuresRhonda A Lizewski, Rachel S G Sealfon, Sang Woo Park, et al.Epidemiology (Cambridge, Mass.)|September 6, 2021
Observed Versus Expected COVID-19 Infections Among National Football League Players During the 2020 SeasonMichael J Lopez, Christina Mack, Thompson Bliss, et al.Epidemiology (Cambridge, Mass.)|May 20, 2020
Stumped by the Hump: The Curious Rise and Fall of Norwegian Birthweights, 1991-2007Ellen Øen Carlsen, Maria C Magnus, Tone K Omsland, et al.Epidemiology (Cambridge, Mass.)|January 30, 2023
Partial Identification of Personalized Treatment Response with Trial-reported Analyses of Binary SubgroupsSheyu Li, Valentyn Litvin, Charles F ManskiEpidemiology (Cambridge, Mass.)|February 1, 2023
Why and How Epidemiologists Should Use Mixed MethodsLauren C Houghton, Alejandra Paniagua-AvilaEpidemiology (Cambridge, Mass.)|February 1, 2023
Accounting for the Potential of Overdispersion in Estimation of the Time-varying Reproduction NumberFaith Ho, Kris V Parag, Dillon C Adam, et al.Epidemiology (Cambridge, Mass.)|February 1, 2023
Performance of Multiple Imputation Using Modern Machine Learning Methods in Electronic Health Records DataKylie Getz, Rebecca A Hubbard, Kristin A LinnPageof 361