2016
Use of Self-Matching to Control for Stable Patient Characteristics While Addressing Time-Varying Confounding on Treatment Effect: A Case Study of Older Intensive Care Patients
Han L, Pisani MA, Araujo KL, Allore HG. Use of Self-Matching to Control for Stable Patient Characteristics While Addressing Time-Varying Confounding on Treatment Effect: A Case Study of Older Intensive Care Patients. International Journal Of Statistics In Medical Research 2016, 5: 8-16. PMID: 27123153, PMCID: PMC4844076, DOI: 10.6000/1929-6029.2016.05.01.2.Peer-Reviewed Original ResearchDelirium severity scoresIntensive care unitSeverity scoreOld intensive care patientsIntensive care patientsOlder medical patientsDose of haloperidolStable patient characteristicsICU stayBaseline characteristicsAcute outcomesPatient characteristicsCare patientsCare unitMeasures of exposureMedical patientsAntipsychotic medicationFull cohortPatientsStable baselineAnalytic sampleTreatment effectsHaloperidolCohortScores
2011
Validating Smoking Data From the Veteran’s Affairs Health Factors Dataset, an Electronic Data Source
McGinnis KA, Brandt CA, Skanderson M, Justice AC, Shahrir S, Butt AA, Brown ST, Freiberg MS, Gibert CL, Goetz MB, Kim JW, Pisani MA, Rimland D, Rodriguez-Barradas MC, Sico JJ, Tindle HA, Crothers K. Validating Smoking Data From the Veteran’s Affairs Health Factors Dataset, an Electronic Data Source. Nicotine & Tobacco Research 2011, 13: 1233-1239. PMID: 21911825, PMCID: PMC3223583, DOI: 10.1093/ntr/ntr206.Peer-Reviewed Original ResearchConceptsSmoking statusHealth factorsSmoking dataKappa statisticsSmoking variablesVeterans Aging Cohort StudyAging Cohort StudySelf-reported smoking dataCohort studyCurrent smokersSmoking interventionsVirtual cohortElectronic data sourcesEMR dataFuture studiesStatusParticipantsFactorsHIVSmokersSmokingStudy surveyCohort