2023
A multivariate joint model to adjust for random measurement error while handling skewness and correlation in dietary data in an epidemiologic study of mortality
Agogo G, Muchene L, Orindi B, Murphy T, Mwambi H, Allore H. A multivariate joint model to adjust for random measurement error while handling skewness and correlation in dietary data in an epidemiologic study of mortality. Annals Of Epidemiology 2023, 82: 8-15. PMID: 36972757, PMCID: PMC10239394, DOI: 10.1016/j.annepidem.2023.03.007.Peer-Reviewed Original ResearchConceptsCause mortalityDietary intakeNational Death Index mortality dataIntake levelsDietary fiber intakeNutrition Examination SurveyUS National HealthHazard ratioMultivariate joint modelExamination SurveyPerson intakeNational HealthUnhealthy dietFiber intakeEpidemiologic studiesDietary dataRelative hazardGlobal deathsMortality dataIntakeMortalitySubstantial proportionDeathDietary fiberLongitudinal measures
2009
Missing Data: A Special Challenge in Aging Research
Hardy SE, Allore H, Studenski SA. Missing Data: A Special Challenge in Aging Research. Journal Of The American Geriatrics Society 2009, 57: 722-729. PMID: 19220562, PMCID: PMC2695652, DOI: 10.1111/j.1532-5415.2008.02168.x.Peer-Reviewed Original ResearchMeSH KeywordsAgingData CollectionEpidemiologic Research DesignEpidemiologic StudiesHumansModels, StatisticalPatient DropoutsResearch Design
2007
The use of missingness screens in clinical epidemiologic research has implications for regression modeling
Van Ness PH, Murphy TE, Araujo KL, Pisani MA, Allore HG. The use of missingness screens in clinical epidemiologic research has implications for regression modeling. Journal Of Clinical Epidemiology 2007, 60: 1239-1245. PMID: 17998078, PMCID: PMC2443713, DOI: 10.1016/j.jclinepi.2007.03.006.Peer-Reviewed Original Research