2018
There is no impact of exposure measurement error on latency estimation in linear models
Peskoe SB, Spiegelman D, Wang M. There is no impact of exposure measurement error on latency estimation in linear models. Statistics In Medicine 2018, 38: 1245-1261. PMID: 30515870, PMCID: PMC6542365, DOI: 10.1002/sim.8038.Peer-Reviewed Original ResearchConceptsMeasurement error modelLinear measurement error modelsLeast squares estimatorStandard measurement error modelLinear modelError modelRegression coefficient estimatesLikelihood-based methodsMeasurement errorExposure measurement errorSquares estimatorWide classGeneralized linear modelMean functionStatistical modelCovariance structureError settingsNaive estimatorBody mass indexBehavioral risk factorsLatency parametersExposure-disease relationshipsPrimary disease modelTime-varying exposureCoefficient estimates
2009
Power and sample size calculations for longitudinal studies comparing rates of change with a time‐varying exposure
Basagaña X, Spiegelman D. Power and sample size calculations for longitudinal studies comparing rates of change with a time‐varying exposure. Statistics In Medicine 2009, 29: 181-192. PMID: 19899065, PMCID: PMC3772653, DOI: 10.1002/sim.3772.Peer-Reviewed Original Research
2004
Inference for the Proportional Hazards Model with Misclassified Discrete‐Valued Covariates
Zucker DM, Spiegelman D. Inference for the Proportional Hazards Model with Misclassified Discrete‐Valued Covariates. Biometrics 2004, 60: 324-334. PMID: 15180657, DOI: 10.1111/j.0006-341x.2004.00176.x.Peer-Reviewed Original Research