2018
A maximum likelihood approach to power calculations for stepped wedge designs of binary outcomes
Zhou X, Liao X, Kunz LM, Normand ST, Wang M, Spiegelman D. A maximum likelihood approach to power calculations for stepped wedge designs of binary outcomes. Biostatistics 2018, 21: 102-121. PMID: 30084949, PMCID: PMC7410259, DOI: 10.1093/biostatistics/kxy031.Peer-Reviewed Original ResearchMeSH KeywordsData Interpretation, StatisticalHumansLikelihood FunctionsModels, StatisticalOutcome Assessment, Health CareConceptsVariable cluster sizesMaximum likelihood approachLikelihood approachCluster sizeLeast squares approachStatistical theoryCluster random effectsBinary outcomesNumber of clustersNumerical methodParameter spaceRobustness of powerAsymptotic powerSquares approachIntra-cluster correlation coefficientRandom effectsParallel clusterLarge-scale intervention programmesPower calculationNew methodAvailable methodsWedge designSequential rolloutTheoryClusters
2017
“Cross-sectional” stepped wedge designs always reduce the required sample size when there is no time effect
Zhou X, Liao X, Spiegelman D. “Cross-sectional” stepped wedge designs always reduce the required sample size when there is no time effect. Journal Of Clinical Epidemiology 2017, 83: 108-109. PMID: 28093263, PMCID: PMC5517056, DOI: 10.1016/j.jclinepi.2016.12.011.Peer-Reviewed Original ResearchCluster AnalysisCross-Sectional StudiesData Interpretation, StatisticalRandomized Controlled Trials as TopicSample Size