2024
Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure
Tang W, Spiegelman D, Liao X, Wang M. Causal Selection of Covariates in Regression Calibration for Mismeasured Continuous Exposure. Epidemiology 2024, 35: 320-328. PMID: 38630507, DOI: 10.1097/ede.0000000000001706.Peer-Reviewed Original ResearchConceptsMismeasured exposureOutcome modelRegression calibrationMeasurement error modelSelection of covariatesNonparametric settingEffect modificationCovariate adjustmentFiber intakeMeasurement errorCardiovascular diseaseEffects of fiber intakeStudy datasetOutcomesCovariatesComprehensive guidanceError modelRegressionHealthEfficiency lossErrorRosnerWillettExposureAdjustment
2022
Measurement errors in Gaussian mixture models using high-dimensional air pollution constituents data
Zhou X, Xu L, Fang J, Spiegelman D. Measurement errors in Gaussian mixture models using high-dimensional air pollution constituents data. ISEE Conference Abstracts 2022, 2022 DOI: 10.1289/isee.2022.o-sy-074.Peer-Reviewed Original Research
2021
Testing gene–environment interactions in the presence of confounders and mismeasured environmental exposures
Cheng C, Spiegelman D, Wang Z, Wang M. Testing gene–environment interactions in the presence of confounders and mismeasured environmental exposures. G3: Genes, Genomes, Genetics 2021, 11: jkab236. PMID: 34568916, PMCID: PMC8473983, DOI: 10.1093/g3journal/jkab236.Peer-Reviewed Original ResearchConceptsStandard logistic regression approachGreater statistical powerStatistical powerBinary disease outcomeComputational efficiencyIllustrative exampleComputation timeExtensive simulation experimentsMost simulation scenariosMeasurement errorRegression approachConsideration adjustmentsSimulation experimentsExposure measurement errorReverse testLogistic regression approachSimulation scenariosLinear discriminant analysisApproachReverse approachPowerErrorDiscriminant analysis
1998
Correcting for bias in relative risk estimates due to exposure measurement error: a case study of occupational exposure to antineoplastics in pharmacists.
Spiegelman D, Valanis B. Correcting for bias in relative risk estimates due to exposure measurement error: a case study of occupational exposure to antineoplastics in pharmacists. American Journal Of Public Health 1998, 88: 406-12. PMID: 9518972, PMCID: PMC1508329, DOI: 10.2105/ajph.88.3.406.Peer-Reviewed Original ResearchConceptsMeasurement error modelInterval estimatesExposure measurement errorMeasurement errorError modelPrevalence ratiosRelative riskLikelihood-based methodsLog relative riskNondifferential measurement errorStatistical methodsRelative risk estimatesOutcomes of interestOccupational exposurePublic health researchHospital pharmacistsLogistic regressionRisk estimatesWeekly numberFirst methodHealth effectsUsual pointHealth researchErrorPharmacists
1997
Efficient Derivative Codes through Automatic Differentiation and Interface Contraction: An Application in Biostatistics
Hovland P, Bischof C, Spiegelman D, Casella M. Efficient Derivative Codes through Automatic Differentiation and Interface Contraction: An Application in Biostatistics. SIAM Journal On Scientific Computing 1997, 18: 1056-1066. DOI: 10.1137/s1064827595281800.Peer-Reviewed Original ResearchAutomatic differentiationDerivative codeInterface contractionHigh-level structureADIFOR (Automatic Differentiation of Fortran) toolEfficient codeNumber of variablesPerformance figuresComputation of derivativesCodeLittle effortComputationDivided difference approximationsJudicious fashionUsersCase studyChain ruleLikelihood functionErrorSubroutine
1989
Correction of logistic regression relative risk estimates and confidence intervals for systematic within‐person measurement error
Rosner B, Willett WC, Spiegelman D. Correction of logistic regression relative risk estimates and confidence intervals for systematic within‐person measurement error. Statistics In Medicine 1989, 8: 1051-1069. PMID: 2799131, DOI: 10.1002/sim.4780080905.Peer-Reviewed Original ResearchConceptsLikelihood approximation methodApproximation methodLinear approximation methodSecond-order Taylor series expansionTaylor series expansionEstimation of lambdaMeasurement errorCoverage probabilitySeries expansionLikelihood estimationTrue odds ratioSimulation studyPerson measurement errorSystematic errorsRegression coefficientsErrorCoefficient betaCoefficient lambdaEstimationLogistic regression coefficientsLogistic functionEstimatesTrue exposure