Erich J Greene, PhD
Research Scientist in BiostatisticsDownloadHi-Res Photo
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Publications Overview
- 46 Publications
- 1,736 Citations
- 22 Yale Co-Authors
Contact Info
About
Titles
Research Scientist in Biostatistics
Biography
Erich Greene is a biostatistician and statistical programmer at the Yale Center for Analytical Sciences (YCAS) and the Yale Data Coordinating Center (YDCC), working primarily with clinical trial monitoring, analysis, and methodology. Prior to joining YCAS in 2015, he spent more than a decade as the primary fMRI data analyst and programmer at the Yale Memory and Cognition Laboratory. He holds a master's in physics from Cornell, a doctorate in psychology from Princeton, and a fondness for the serial comma.
Appointments
Biostatistics
Research ScientistPrimary
Other Departments & Organizations
Education & Training
- PhD
- Princeton University, Psychology (2003)
- MA
- Princeton University, Psychology (1997)
- MS
- Cornell University, Physics (1995)
- AB
- Princeton University, Physics (1991)
Research
Overview
Medical Research Interests
Biostatistics; Clinical Trial; Data Interpretation, Statistical; Mathematical Computing; Models, Statistical; Pragmatic Clinical Trial; Statistics
Public Health Interests
Bioinformatics; Clinical Trials; Modeling; Randomized Trials; Statistical Computing; Survival Analysis
ORCID
0000-0002-9473-830X
Research at a Glance
Yale Co-Authors
Frequent collaborators of Erich J Greene's published research.
Publications Timeline
A big-picture view of Erich J Greene's research output by year.
Research Interests
Research topics Erich J Greene is interested in exploring.
James Dziura, MPH, PhD
Can Meng, MS, MPH
David Ganz
Denise Esserman, PhD
Thomas M. Gill, MD
Harlan Krumholz, MD, SM
46Publications
1,736Citations
Models, Statistical
Publications
Featured Publications
Estimation of ascertainment bias and its effect on power in clinical trials with time‐to‐event outcomes
Greene EJ, Peduzzi P, Dziura J, Meng C, Miller ME, Travison TG, Esserman D. Estimation of ascertainment bias and its effect on power in clinical trials with time‐to‐event outcomes. Statistics In Medicine 2020, 40: 1306-1320. PMID: 33316841, PMCID: PMC9007163, DOI: 10.1002/sim.8842.Peer-Reviewed Original ResearchA SAS Macro for Covariate-Constrained Randomization of General Cluster-Randomized and Unstratified Designs.
Greene EJ. A SAS Macro for Covariate-Constrained Randomization of General Cluster-Randomized and Unstratified Designs. Journal Of Statistical Software 2017, 77 PMID: 28649186, PMCID: PMC5479642, DOI: 10.18637/jss.v077.c01.Peer-Reviewed Original ResearchSimulating time-to-event data subject to competing risks and clustering: A review and synthesis
Meng C, Esserman D, Li F, Zhao Y, Blaha O, Lu W, Wang Y, Peduzzi P, Greene E. Simulating time-to-event data subject to competing risks and clustering: A review and synthesis. Statistical Methods In Medical Research 2022, 32: 305-333. PMID: 36412111, PMCID: PMC11654122, DOI: 10.1177/09622802221136067.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsHealth System, Community-Based, or Usual Dementia Care for Persons With Dementia and Caregivers: The D-CARE Randomized Clinical Trial.
Reuben DB, Gill TM, Stevens A, Williamson J, Volpi E, Lichtenstein M, Jennings LA, Galloway R, Summapund J, Araujo K, Bass D, Weitzman L, Tan ZS, Evertson L, Yang M, Currie K, Green AS, Godoy S, Abraham S, Reese J, Samper-Ternent R, Hirst RM, Borek P, Charpentier P, Meng C, Dziura J, Xu Y, Skokos EA, He Z, Aiudi S, Peduzzi P, Greene EJ, D-CARE Study. Health System, Community-Based, or Usual Dementia Care for Persons With Dementia and Caregivers: The D-CARE Randomized Clinical Trial. JAMA 2025 PMID: 39878968, DOI: 10.1001/jama.2024.25056.Peer-Reviewed Original ResearchA Randomized Trial of a Multifactorial Strategy to Prevent Serious Fall Injuries
Bhasin S, Gill TM, Reuben DB, Latham NK, Ganz DA, Greene EJ, Dziura J, Basaria S, Gurwitz JH, Dykes PC, McMahon S, Storer TW, Gazarian P, Miller ME, Travison TG, Esserman D, Carnie MB, Goehring L, Fagan M, Greenspan SL, Alexander N, Wiggins J, Ko F, Siu AL, Volpi E, Wu AW, Rich J, Waring SC, Wallace RB, Casteel C, Resnick NM, Magaziner J, Charpentier P, Lu C, Araujo K, Rajeevan H, Meng C, Allore H, Brawley BF, Eder R, McGloin JM, Skokos EA, Duncan PW, Baker D, Boult C, Correa-de-Araujo R, Peduzzi P. A Randomized Trial of a Multifactorial Strategy to Prevent Serious Fall Injuries. New England Journal Of Medicine 2020, 383: 129-140. PMID: 32640131, PMCID: PMC7421468, DOI: 10.1056/nejmoa2002183.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsSerious fall injuriesFall injuriesIntervention groupControl groupUsual careMultifactorial interventionRate of hospitalizationPrimary care practicesCluster-randomized trialCommunity-dwelling adultsFirst-event analysisYears of ageHealth care systemRate of fallElectronic health recordsBaseline characteristicsPrimary outcomeRandomized trialsMean ageEfficacy trialsIndividualized planCare practicesInjuryMultifactorial strategyEvent ratesEffect of a Multifactorial Fall Injury Prevention Intervention on Patient Well‐Being: The STRIDE Study
Gill TM, Bhasin S, Reuben DB, Latham NK, Araujo K, Ganz DA, Boult C, Wu AW, Magaziner J, Alexander N, Wallace RB, Miller ME, Travison TG, Greenspan SL, Gurwitz JH, Rich J, Volpi E, Waring SC, Manini TM, Min LC, Teresi J, Dykes PC, McMahon S, McGloin JM, Skokos EA, Charpentier P, Basaria S, Duncan PW, Storer TW, Gazarian P, Allore HG, Dziura J, Esserman D, Carnie MB, Hanson C, Ko F, Resnick NM, Wiggins J, Lu C, Meng C, Goehring L, Fagan M, Correa‐de‐Araujo R, Casteel C, Peduzzi P, Greene EJ. Effect of a Multifactorial Fall Injury Prevention Intervention on Patient Well‐Being: The STRIDE Study. Journal Of The American Geriatrics Society 2020, 69: 173-179. PMID: 33037632, PMCID: PMC8178516, DOI: 10.1111/jgs.16854.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsSerious fall injuriesFall injuriesMultifactorial interventionPhysical functionOutcomes Measurement Information System (PROMIS) AnxietyLeast square mean changePragmatic cluster-randomized trialMean scoreCommunity-living personsIntervention group's mean scoreInjury prevention interventionsPrimary care practicesFalls Efficacy ScaleCluster-randomized trialUsual careElders StudyDisability InstrumentSTRIDE studyDepression ScaleMean changePrevention interventionsHigh riskCare practicesControl groupMeaningful improvementsAssociation of Racial Disparities With Access to Kidney Transplant After the Implementation of the New Kidney Allocation System
Kulkarni S, Ladin K, Haakinson D, Greene E, Li L, Deng Y. Association of Racial Disparities With Access to Kidney Transplant After the Implementation of the New Kidney Allocation System. JAMA Surgery 2019, 154: 618-625. PMID: 30942882, PMCID: PMC6583835, DOI: 10.1001/jamasurg.2019.0512.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsConceptsDeceased donor transplantsKidney allocation systemDonor transplantsKidney transplantTransplant probabilityDeath/Race/ethnicityHispanic individualsWhite individualsOrgan procurementBlack individualsNew kidney allocation systemRetrospective cohort studyWait-listed patientsKidney transplant databaseStatus changesAntibody categoriesLevel of sensitizationInactive statusInactive patientsTransplant databaseTransplant outcomesCohort studyMedian ageAntibody groupSex Differences in Symptom Phenotypes Among Patients With Acute Myocardial Infarction
Brush JE, Krumholz HM, Greene EJ, Dreyer RP. Sex Differences in Symptom Phenotypes Among Patients With Acute Myocardial Infarction. Circulation Cardiovascular Quality And Outcomes 2020, 13: e005948. PMID: 32063049, PMCID: PMC7041412, DOI: 10.1161/circoutcomes.119.005948.Peer-Reviewed Original ResearchMeSH Keywords and ConceptsMeSH KeywordsAdolescentAdultBiological Variation, IndividualFemaleHealth Status DisparitiesHumansInterviews as TopicMaleMiddle AgedMyocardial InfarctionPatient AdmissionPhenotypePredictive Value of TestsProspective StudiesRisk AssessmentRisk FactorsSex FactorsSpainSymptom AssessmentUnited StatesYoung AdultConceptsAcute myocardial infarctionMyocardial infarctionMedical recordsYoung womenDiagnosis of AMIObservational cohort studyMedical record abstractionSymptom phenotypeDiagnostic processAnalysis of symptomsVIRGO StudyCohort studyRecord abstractionIndividual patientsClinician's abilityDiagnosis rateStandardized interviewPhenotype subgroupsSymptomsSimilar findingsYoung adultsWomenMenInfarctionPatients
2025
Statistical considerations for evaluating treatment effect under various non-proportional hazard scenarios.
Zhang X, Greene EJ, Blaha O, Wei W. Statistical considerations for evaluating treatment effect under various non-proportional hazard scenarios. Stat Methods Med Res 2025, 9622802241313297. PMID: 39930911, DOI: 10.1177/09622802241313297.Peer-Reviewed Original Research
2024
Assessing readiness to use electronic health record data for outcome ascertainment in clinical trials – A case study
Esserman D, Greene E, Latham N, Kane M, Lu C, Peduzzi P, Gill T, Ganz D. Assessing readiness to use electronic health record data for outcome ascertainment in clinical trials – A case study. Contemporary Clinical Trials 2024, 142: 107572. PMID: 38740298, PMCID: PMC11654751, DOI: 10.1016/j.cct.2024.107572.Peer-Reviewed Original ResearchConceptsElectronic health record dataElectronic health recordsOutcome ascertainmentDevelop Confidence in EldersElectronic health record platformsClinical sitesPrimary care practicesHealth record dataMulti-site trialMulti-site clinical trialCare practicesHealth recordsAssess readinessAcute clinical outcomesHealthcare systemRecord dataClinical trialsReduce injuriesData qualityData comprehensionChecklistStudy dataClinical trial sitesVariable data qualityAscertainment
Academic Achievements & Community Involvement
activity New Haven Theater Company
Public ServiceBoard of DirectorsDetailsCo-founder, board member, and company member of Theater New Haven Inc. (d.b.a. New Haven Theater Company), a nonprofit whose mission is, “To celebrate the power of storytelling by providing New Haven with awesome theater experiences that are relevant and accessible to all members of our community.”2011 - 2022
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