Adjunct Faculty
Adjunct faculty typically have an academic or research appointment at another institution and contribute or collaborate with one or more School of Medicine faculty members or programs.
Adjunct rank detailsTerrence E. Murphy, PhD
Associate Professor AdjunctDownloadHi-Res Photo
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Associate Professor Adjunct
Biography
Dr. Murphy is a member of the biostatistics staff of the Program on Aging. With twelve years experience in the design and manufacture of clinical instrumentation and advanced training in engineering statistics, he is interested in the application of engineering tools to research on aging. Current areas of investigation include multivariate statistics for characterization of multiple co–morbidity, robust design techniques for assessing the tradeoffs of multiple medication use, and the use of hierarchical models, propensity scores, and Bayesian techniques to enhance the analysis of non-randomized interventional designs such as the fall–related utilization of healthcare services by older persons in the state of Connecticut.
Last Updated on April 07, 2025.
Appointments
Geriatric Medicine
Associate Professor AdjunctPrimary
Other Departments & Organizations
- Claude D. Pepper Older Americans Independence Center
- Geriatric Medicine
- Internal Medicine
- Yale-UPR Integrated HIV Basic and Clinical Sciences Initiative
Education & Training
- PhD
- Georgia Institute Of Technology, Industrial & Systems Engineering (2004)
- MS
- Georgia Institute Of Technology (2000)
- MS
- Rochester Institute of Technology (1998)
Research
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Overview
YCCI-T3 Murphy (PI) 5/01/2011 - 4/30/13
Yale Center for Clinical Investigation
Enhancing Non-Randomized Studies in Public Health: A Novel Statistical Technique to Strengthen Causality of an Obesity Prevention Intervention for Children
The goal of this project is to integrate propensity scores into a spatial modeling framework to provide greater evidence of causality in this observational study.
Role: Principal Investigator
1R21AG033130 Murphy (PI) 9/30/2010 - 8/31/2012 NIH/NIA
Enhanced Evaluation of Second Stage Translational Research
Medical Research Interests
Aging; Bayes Theorem; Biostatistics; Comorbidity; Geriatrics; Propensity Score; Statistics
ORCID
0000-0002-9649-517X
Research at a Glance
Yale Co-Authors
Frequent collaborators of Terrence E. Murphy's published research.
Publications Timeline
A big-picture view of Terrence E. Murphy's research output by year.
Research Interests
Research topics Terrence E. Murphy is interested in exploring.
Thomas M. Gill, MD
Margaret Pisani, MD, MPH, FCCP
Alexandra M. Hajduk, PhD, MPH
Mary Geda, BSN, MSN, RN
Heather Allore, PhD
Lauren Ferrante, MD, MHS
69Publications
552Citations
Publications
2025
Health-related social needs before and after critical illness among Medicare beneficiaries
Kaminski T, Murphy T, O’Leary J, Leo-Summers L, Ferrante L. Health-related social needs before and after critical illness among Medicare beneficiaries. The Journals Of Gerontology Series B 2025, 80: gbaf123. PMID: 40587086, DOI: 10.1093/geronb/gbaf123.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsHealth-related social needsNational Health and Aging Trends StudyAssociated with greater oddsOlder survivorsFood insecuritySocial isolationIntensive care unitCritical illnessGreater oddsNon-Hispanic Black individualsPrevalence of food insecuritySurvivors of critical illnessCommunity-living participantsIn-hospital factorsSocial needsMultivariate logistic regressionSocioeconomic disadvantageTrends StudyMedicare beneficiariesOlder personsIntensive care unit hospitalizationBlack individualsLogistic regressionTransport disadvantageIllnessReply to: Reevaluating Functional Recovery Post‐COVID‐19: A Call for Broader Considerations
Ho J, McAvay G, Murphy T, Acampora D, Araujo K, Geda M, Gill T, Hajduk A, Cohen A, Ferrante L. Reply to: Reevaluating Functional Recovery Post‐COVID‐19: A Call for Broader Considerations. Journal Of The American Geriatrics Society 2025 PMID: 40390544, PMCID: PMC12353894, DOI: 10.1111/jgs.19534.Peer-Reviewed Original ResearchFunctional Trajectories After COVID‐19 Hospitalization Among Older Adults
Ho J, McAvay G, Murphy T, Acampora D, Araujo K, Geda M, Gill T, Hajduk A, Cohen A, Ferrante L. Functional Trajectories After COVID‐19 Hospitalization Among Older Adults. Journal Of The American Geriatrics Society 2025, 73: 1733-1741. PMID: 40096163, PMCID: PMC12213203, DOI: 10.1111/jgs.19420.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsIn-hospital deliriumFunction trajectoriesFactors associated with trajectory membershipTrajectory membershipAssociation of potential risk factorsCommunity-dwelling adultsRisk factorsModifiable risk factorsMedical decision-makingOlder survivorsPotential risk factorsOlder adultsSeverity of illnessAssociated with membershipYears of ageCOVID-19 hospitalizationModerate trajectoryLatent class analysisMultinomial regressionSurvive hospitalizationCOVID-19DisabilitySeverity trajectoriesHospitalClass analysisEvaluating Major Bleeding Risks with Concomitant Use of Direct Oral Anticoagulants and Selective Serotonin Reuptake Inhibitors in Nonvalvular Atrial Fibrillation Patients
Yao S, Kocis P, Murphy T, Hwang W. Evaluating Major Bleeding Risks with Concomitant Use of Direct Oral Anticoagulants and Selective Serotonin Reuptake Inhibitors in Nonvalvular Atrial Fibrillation Patients. Pharmacoepidemiology 2025, 4: 6. DOI: 10.3390/pharma4010006.Peer-Reviewed Original ResearchConceptsDirect oral anticoagulantsNonvalvular atrial fibrillationNonvalvular atrial fibrillation patientsVitamin K antagonistsSerotonin reuptake inhibitorsHazard ratioBleeding eventsConcomitant useOral anticoagulantsReuptake inhibitorsFollow-upConfidence intervalsElectronic health recordsEstimate hazard ratiosCause-specific proportional hazards modelDOAC prescriptionsHAS-BLED scoreAtrial fibrillation patientsBaseline CHA2DS2-VASc scoreCHA2DS2-VASc scoreRetrospective cohort studyInverse probability of treatmentHealth recordsProportional hazards modelDrug-drug interactionsUtilisation of nursing home care before and after the 2015 Dutch national reform: an interrupted time series analysis
Vroomen J, Wammes J, Wouterse B, Smalbrugge M, Murphy T. Utilisation of nursing home care before and after the 2015 Dutch national reform: an interrupted time series analysis. Age And Ageing 2025, 54: afaf018. PMID: 39902847, PMCID: PMC11791781, DOI: 10.1093/ageing/afaf018.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsInterrupted time series analysisLong-term careNH admissionNursing homesOlder adultsAdmission ratesMortality riskAdmitted older adultsNursing home careIncreased mortality riskCox proportional hazards modelsAdmitted residentsAging-in-placePopulation-level studiesProportional hazards modelHome carePromote aging-in-placeStatistics NetherlandsTime series analysisHazards modelPopulation dataCareAdultsFollow-upAdmissionWorse clinical outcomes of TACE when liver function is decompensated in a cohort of patients with cirrhosis and HCC waiting for liver transplantation
Makarova E, Fan X, Farooqi I, Bakhl K, Murphy T, Stonesifer E, Faust A. Worse clinical outcomes of TACE when liver function is decompensated in a cohort of patients with cirrhosis and HCC waiting for liver transplantation. Journal Of Liver Transplantation 2025, 17: 100257. DOI: 10.1016/j.liver.2024.100257.Peer-Reviewed Original ResearchCitationsAltmetricConceptsTrans arterial chemoembolizationDecompensated liver functionHepatocellular carcinomaLiver functionLiver transplantationClinical outcomesRetrospective cohort study of patientsClinical outcomes of patientsWorsening of liver functionCohort study of patientsCompensated liver functionOutcomes of patientsCohort of patientsRetrospective cohort studyStudy of patientsStatistically significant differenceLocoregional therapyArterial chemoembolizationDecompensated cirrhosisPoor outcomePrimary statistical analysisPatientsCirrhosisTransplantationSignificant difference
2024
HPR224 Utilization of Long-Term Care Before and After the 2015 Dutch National Reform: An Interrupted Time Series Analysis
Vroomen J, Wammes J, Wouterse B, Smalbrugge M, Murphy T. HPR224 Utilization of Long-Term Care Before and After the 2015 Dutch National Reform: An Interrupted Time Series Analysis. Value In Health 2024, 27: s317. DOI: 10.1016/j.jval.2024.10.1648.Peer-Reviewed Original ResearchGerontologic Biostatistics and Data Science: Aging Research in the Era of Big Data
Chen C, Murphy T, Speiser J, Bandeen-Roche K, Allore H, Travison T, Griswold M, Shardell M. Gerontologic Biostatistics and Data Science: Aging Research in the Era of Big Data. The Journals Of Gerontology Series A 2024, 80: glae269. PMID: 39500720, PMCID: PMC11683485, DOI: 10.1093/gerona/glae269.Peer-Reviewed Original ResearchAltmetricConceptsData scienceAdaptation of machine learningEra of Big DataSoftware resourcesBig dataComputer scienceMachine learningCutting-edge methodsIntegration of informationTechnological landscapeAnalysis of high-dimensional omics dataOpen scienceDataHigh-dimensional omics dataIntersection of statisticsGerontological researchSub-disciplineInformationBoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans
Fodeh S, Wang R, Murphy T, Kidwai-Khan F, Leo-Summers L, Tessier-Sherman B, Hsieh E, Womack J. BoneScore: A natural language processing algorithm to extract bone mineral density data from DXA scans. Health Informatics Journal 2024, 30: 14604582241295930. PMID: 39526751, PMCID: PMC11872221, DOI: 10.1177/14604582241295930.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsT-score valuesT-scoreNLP algorithmsDXA scansFemoral neck T-scoreNatural language processing algorithmsBone mineral density dataLanguage processing algorithmsBone mineral densityExtract annotationsRegular expressionsTest dataProcessing algorithmsDXA reportsMineral densityAlgorithmMultivariate linear regressionClinical face validityRisk factorsPresence of informationDXANLPClinical validationClinical expertsAccuracy“Faith and a sunny day”: Association of patient frailty with strain experienced by informal caregivers of older adults with non-muscle-invasive bladder cancer
Garg T, Maheshwari C, Frank K, Johns A, Rabinowitz K, Danella J, Becker H, Kirchner H, Nielsen M, Cohen H, Murphy T, McMullen C. “Faith and a sunny day”: Association of patient frailty with strain experienced by informal caregivers of older adults with non-muscle-invasive bladder cancer. Journal Of Geriatric Oncology 2024, 15: 102060. PMID: 39244892, PMCID: PMC11560472, DOI: 10.1016/j.jgo.2024.102060.Peer-Reviewed Original ResearchCitationsAltmetricConceptsCaregiver Strain IndexDeficit accumulation indexInformal caregiversOlder adultsCaregiver strainInformal caregivers of older adultsCaregivers of older adultsAging-related conditionsCoping strategiesQualitative thematic content analysisDyads of older adultsCross-sectional survey studyConditions of older adultsInformal caregiver strainMultivariable negative binomial regressionThematic content analysisMeasures of frailtyCross-sectional studyNegative binomial regressionNon-muscle-invasive bladder cancerPre-frailSocial supportCaregiversSelf-report measuresGeriatric assessment
Academic Achievements & Community Involvement
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Activities
activity Society for Clinical Trials
06/15/2009 - 08/01/2011Professional OrganizationsMemberactivity American Association of Engineering Education
06/15/2009 - 08/01/2011Professional OrganizationsMemberactivity American Statistical Association
06/15/2003 - 08/01/2011Professional OrganizationsMemberactivity American Society for Quality
06/15/1993 - 08/01/2011Professional OrganizationsMember
News
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News
- November 01, 2022Source: American Heart Association News
Perceived discrimination increased the risk of worse health outcomes after a heart attack
- October 19, 2022Source: MedPage Today
1 in 7 Community-Living Seniors Die in the Year After Major Surgery
- October 04, 2021
Yale Program on Aging Awarded NIH Funding for Development of REDCap External Modules
- September 02, 2021
New Award To Study Risk Model For Fractures in Persons With HIV
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