2023
Correcting for Bias Due to Mismeasured Exposure History in Longitudinal Studies with Continuous Outcomes
Cai J, Zhang N, Zhou X, Spiegelman D, Wang M. Correcting for Bias Due to Mismeasured Exposure History in Longitudinal Studies with Continuous Outcomes. Biometrics 2023, 79: 3739-3751. PMID: 37222518, PMCID: PMC11214728, DOI: 10.1111/biom.13877.Peer-Reviewed Original Research
2018
A Modified Partial Likelihood Score Method for Cox Regression with Covariate Error Under the Internal Validation Design
Zucker DM, Zhou X, Liao X, Li Y, Spiegelman D. A Modified Partial Likelihood Score Method for Cox Regression with Covariate Error Under the Internal Validation Design. Biometrics 2018, 75: 414-427. PMID: 30525191, PMCID: PMC6555694, DOI: 10.1111/biom.13012.Peer-Reviewed Original ResearchA 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 ResearchConceptsVariable 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
2015
A note on “Design and analysis of stepped wedge cluster randomized trials”
Liao X, Zhou X, Spiegelman D. A note on “Design and analysis of stepped wedge cluster randomized trials”. Contemporary Clinical Trials 2015, 45: 338-339. PMID: 26394003, PMCID: PMC4861952, DOI: 10.1016/j.cct.2015.09.011.Peer-Reviewed Original Research