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 ResearchImplementation of a Hardware-Assisted Bluetooth-Based COVID-19 Tracking Device in a High School: Mixed Methods Study
Li D, Shelby T, Brault M, Manohar R, Vermund S, Hagaman A, Forastiere L, Caruthers T, Egger E, Wang Y, Manohar N, Manohar P, Davis J, Zhou X. Implementation of a Hardware-Assisted Bluetooth-Based COVID-19 Tracking Device in a High School: Mixed Methods Study. JMIR Formative Research 2023, 7: e39765. PMID: 36525333, PMCID: PMC10131711, DOI: 10.2196/39765.Peer-Reviewed Original ResearchContact tracingPilot implementation studyPublic health toolMixed-methods evaluationTechnical difficultiesSignificant numberQualitative focus group discussionsClose contactInfectious diseasesHealth toolsLarge-scale pandemicMixed-methods studyImplementation outcomesCOVID-19Significant differencesImplementation studyEmotional reassuranceFocus group discussionsMost contactMixed methods designMethods studySustained useCase interviewsMaintenance frameworkHabits
2021
Evaluating the Quality of Tuberculosis (TB) Care in Low and Middle Income Countries
Saranjav A, Parisi C, Zhou X, Chuluun A, Spiegelman D, Davaasambuu G, Davis J. Evaluating the Quality of Tuberculosis (TB) Care in Low and Middle Income Countries. 2021, a3917-a3917. DOI: 10.1164/ajrccm-conference.2021.203.1_meetingabstracts.a3917.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 ResearchHealth system measurement: Harnessing machine learning to advance global health
Leslie HH, Zhou X, Spiegelman D, Kruk ME. Health system measurement: Harnessing machine learning to advance global health. PLOS ONE 2018, 13: e0204958. PMID: 30289935, PMCID: PMC6173424, DOI: 10.1371/journal.pone.0204958.Peer-Reviewed Original ResearchConceptsFacility surveyHealth facility surveyService Provision Assessment surveyKappa statisticsHigh-quality careWorld Health OrganizationSequential backward selectionMiddle-income countriesPatient outcomesHealth facilitiesService readinessGlobal health expertsFull indexUnsupervised machineComplex burdenHealth OrganizationPopulation healthHealth expertsA 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 rolloutTheoryClustersEvaluating Public Health Interventions: 8. Causal Inference for Time-Invariant Interventions.
Spiegelman D, Zhou X. Evaluating Public Health Interventions: 8. Causal Inference for Time-Invariant Interventions. American Journal Of Public Health 2018, 108: 1187-1190. PMID: 30024804, PMCID: PMC6085031, DOI: 10.2105/ajph.2018.304530.Peer-Reviewed Original Research
2017
Service readiness of health facilities in Bangladesh, Haiti, Kenya, Malawi, Namibia, Nepal, Rwanda, Senegal, Uganda and the United Republic of Tanzania
Leslie HH, Spiegelman D, Zhou X, Kruk ME. Service readiness of health facilities in Bangladesh, Haiti, Kenya, Malawi, Namibia, Nepal, Rwanda, Senegal, Uganda and the United Republic of Tanzania. Bulletin Of The World Health Organization 2017, 95: 738-748. PMID: 29147054, PMCID: PMC5677617, DOI: 10.2471/blt.17.191916.Peer-Reviewed Original ResearchConceptsHealth centers/clinicsCenters/clinicsHealth facilitiesService readinessBasic clinical careFacility-level characteristicsHealth system capacityMost health facilitiesService Provision AssessmentWorld Health OrganizationClinical careDiagnostic capacityHealth systemHealth OrganizationCountry inequitiesUnited RepublicHealth careHospitalClinicHealth financingUniversal coverageStudy countriesCareWeak correlationIndexSurvival Analysis with Functions of Mismeasured Covariate Histories: The Case of Chronic Air Pollution Exposure in Relation to Mortality in the Nurses’ Health Study
Liao X, Zhou X, Wang M, Hart JE, Laden F, Spiegelman D. Survival Analysis with Functions of Mismeasured Covariate Histories: The Case of Chronic Air Pollution Exposure in Relation to Mortality in the Nurses’ Health Study. Journal Of The Royal Statistical Society Series C (Applied Statistics) 2017, 67: 307-327. PMID: 29430064, PMCID: PMC5801717, DOI: 10.1111/rssc.12229.Peer-Reviewed Original ResearchHealth StudyCox modelChronic air pollution exposureNurses' Health StudyChronic disease incidenceExposure historyAir pollution exposureExposure measurementsCause mortalityIndividual exposure measurementsLong-term exposureSurvival analysisFine particulate matter componentsPollution exposureMortalityEffects of functionParticulate matter componentsEnvironmental epidemiologistsExposureExtended riskDisease incidenceRegression calibration methodIncidenceNursesStudyReady or Not? Service Readiness of Health Facilities in High-Mortality Countries
Leslie H, Spiegelman D, Zhou X, Kruk M. Ready or Not? Service Readiness of Health Facilities in High-Mortality Countries. Annals Of Global Health 2017, 83: 53. DOI: 10.1016/j.aogh.2017.03.115.Peer-Reviewed Original Research“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 ResearchResidual Weighted Learning for Estimating Individualized Treatment Rules.
Zhou X, Mayer-Hamblett N, Khan U, Kosorok MR. Residual Weighted Learning for Estimating Individualized Treatment Rules. Journal Of The American Statistical Association 2017, 112: 169-187. PMID: 28943682, PMCID: PMC5607057, DOI: 10.1080/01621459.2015.1093947.Peer-Reviewed Original Research
2016
Effects of Hand Fellowship Training on Rates of Endoscopic and Open Carpal Tunnel Release.
Smetana BS, Zhou X, Hurwitz S, Kamath GV, Patterson JM. Effects of Hand Fellowship Training on Rates of Endoscopic and Open Carpal Tunnel Release. The Journal Of Hand Surgery 2016, 41: e53-8. PMID: 26832310, DOI: 10.1016/j.jhsa.2015.12.027.Peer-Reviewed Original Research
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 ResearchIL2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma.
Carson CC, Moschos SJ, Edmiston SN, Darr DB, Nikolaishvili-Feinberg N, Groben PA, Zhou X, Kuan PF, Pandey S, Chan KT, Jordan JL, Hao H, Frank JS, Hopkinson DA, Gibbs DC, Alldredge VD, Parrish E, Hanna SC, Berkowitz P, Rubenstein DS, Miller CR, Bear JE, Ollila DW, Sharpless NE, Conway K, Thomas NE. IL2 Inducible T-cell Kinase, a Novel Therapeutic Target in Melanoma. Clinical Cancer Research : An Official Journal Of The American Association For Cancer Research 2015, 21: 2167-76. PMID: 25934889, PMCID: PMC4418029, DOI: 10.1158/1078-0432.CCR-14-1826.Peer-Reviewed Original Research
2014
DNA methylation profiles in primary cutaneous melanomas are associated with clinically significant pathologic features.
Thomas NE, Slater NA, Edmiston SN, Zhou X, Kuan PF, Groben PA, Carson CC, Hao H, Parrish E, Moschos SJ, Berwick M, Ollila DW, Conway K. DNA methylation profiles in primary cutaneous melanomas are associated with clinically significant pathologic features. Pigment Cell & Melanoma Research 2014, 27: 1097-105. PMID: 24986547, PMCID: PMC4211983, DOI: 10.1111/pcmr.12289.Peer-Reviewed Original Research
2011
DNA-methylation profiling distinguishes malignant melanomas from benign nevi.
Conway K, Edmiston SN, Khondker ZS, Groben PA, Zhou X, Chu H, Kuan PF, Hao H, Carson C, Berwick M, Olilla DW, Thomas NE. DNA-methylation profiling distinguishes malignant melanomas from benign nevi. Pigment Cell & Melanoma Research 2011, 24: 352-60. PMID: 21375697, PMCID: PMC3073305, DOI: 10.1111/j.1755-148X.2011.00828.x.Peer-Reviewed Original Research
2010
A statistical framework for Illumina DNA methylation arrays.
Kuan PF, Wang S, Zhou X, Chu H. A statistical framework for Illumina DNA methylation arrays. Bioinformatics (Oxford, England) 2010, 26: 2849-55. PMID: 20880956, PMCID: PMC3025715, DOI: 10.1093/bioinformatics/btq553.Peer-Reviewed Original Research
2007
MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data
Zhou X, Tuck DP. MSVM-RFE: extensions of SVM-RFE for multiclass gene selection on DNA microarray data. Bioinformatics 2007, 23: 1106-1114. PMID: 17494773, DOI: 10.1093/bioinformatics/btm036.Peer-Reviewed Original Research
2006
The ties problem resulting from counting-based error estimators and its impact on gene selection algorithms.
Zhou X, Mao KZ. The ties problem resulting from counting-based error estimators and its impact on gene selection algorithms. Bioinformatics (Oxford, England) 2006, 22: 2507-15. PMID: 16908500, DOI: 10.1093/bioinformatics/btl438.Peer-Reviewed Original Research