2021
How to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19
Accorsi E, Qiu X, Rumpler E, Kennedy-Shaffer L, Kahn R, Joshi K, Goldstein E, Stensrud M, Niehus R, Cevik M, Lipsitch M. How to detect and reduce potential sources of biases in studies of SARS-CoV-2 and COVID-19. European Journal Of Epidemiology 2021, 36: 179-196. PMID: 33634345, PMCID: PMC7906244, DOI: 10.1007/s10654-021-00727-7.Peer-Reviewed Original ResearchConceptsRisk Factors StudyPublic health scientistsPotential sources of biasBody of literatureSources of biasStudy designFactor studiesHealth scientistsCategories of studiesObservational studyCOVID-19Selection biasPotential biasSecondary attack rateRisk of infectionGeographical areasAttack rateRiskSusceptibility to infectionStudy of COVID-19Cross-sectional seroprevalenceConfoundingCoronavirus diseaseIntervention
2020
Potential Biases Arising From Epidemic Dynamics in Observational Seroprotection Studies
Kahn R, Kennedy-Shaffer L, Grad Y, Robins J, Lipsitch M. Potential Biases Arising From Epidemic Dynamics in Observational Seroprotection Studies. American Journal Of Epidemiology 2020, 190: 328-335. PMID: 32870977, PMCID: PMC7499481, DOI: 10.1093/aje/kwaa188.Peer-Reviewed Original Research