Sample size estimation for stratified individual and cluster randomized trials with binary outcomes
Kennedy‐Shaffer L, Hughes M. Sample size estimation for stratified individual and cluster randomized trials with binary outcomes. Statistics In Medicine 2020, 39: 1489-1513. PMID: 32003492, PMCID: PMC7247053, DOI: 10.1002/sim.8492.Peer-Reviewed Original ResearchConceptsCluster randomized trialIndividual randomized trialsIntracluster correlation coefficientSample size estimationBinary outcomesRandomized trialsSample sizeStratify individualsLogistic regressionSample size reductionProbabilities of eventsContinuous outcomesSize estimationStratified trialCorrelation coefficientOutcomesTrialsEstimationProbabilityNovel methods for the analysis of stepped wedge cluster randomized trials
Kennedy‐Shaffer L, de Gruttola V, Lipsitch M. Novel methods for the analysis of stepped wedge cluster randomized trials. Statistics In Medicine 2019, 39: 815-844. PMID: 31876979, PMCID: PMC7247054, DOI: 10.1002/sim.8451.Peer-Reviewed Original ResearchConceptsSW-CRTsRobust inference proceduresStepped wedge cluster randomized trialParametric model assumptionsModel assumptionsCluster randomized trialNonparametric analysis methodsTheoretical propertiesInference proceduresNonparametric methodsIncorporating covariatesRestrictive assumptionsAssumptionsEffects modelControl approachFeasibility advantagesSynthetic control approachIncreased powerRandomized trialsIntervention clustersMixed effects modelsEstimationTime trendsInterventionModel-based approach