Featured Publications
Quasi-experimental methods for pharmacoepidemiology: difference-in-differences and synthetic control methods with case studies for vaccine evaluation
Kennedy-Shaffer L. Quasi-experimental methods for pharmacoepidemiology: difference-in-differences and synthetic control methods with case studies for vaccine evaluation. American Journal Of Epidemiology 2024, 193: 1050-1058. PMID: 38456774, PMCID: PMC11228849, DOI: 10.1093/aje/kwae019.Peer-Reviewed Original ResearchConceptsSynthetic control methodDifference-in-differencesHealth policyCase studyAverage treatment effectQuasi-experimental methodPolicyQuasi-experimental designWeight assumptionPopulation-level effectsTime trendsStudy designSources of evidenceConfounding factorsEvaluation studiesPharmacoepidemiologyTarget estimandAbsence of contamination
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