Daniel Zelterman, PhD
Professor Emeritus of BiostatisticsCards
Contact Info
About
Titles
Professor Emeritus of Biostatistics
Biography
Developed discrete distributions in statistics with applications to clustering of family traits. Author of eight books on statistical methods. Plays oboe and bassoon in amateur orchestra groups. Enjoys hiking and backpacking.
Appointments
Biostatistics
EmeritusPrimary
Other Departments & Organizations
- Biostatistics
- Center for Biomedical Data Science
- Center for Interdisciplinary Research on AIDS
- SPORE in Lung Cancer
- Yale School of Public Health
- Yale Ventures
- Yale-UPR Integrated HIV Basic and Clinical Sciences Initiative
Education & Training
- PhD
- Yale University (1983)
Research
Overview
Medical Research Interests
Acquired Immunodeficiency Syndrome; Biomarkers, Pharmacological; Biostatistics; Computational Biology; Epidemiology; Genetics; Statistics
Public Health Interests
Bioinformatics; Biomarkers; Cancer; Genetics, Genomics, Epigenetics; HIV/AIDS; Modeling
ORCID
0000-0003-0711-8688
Research at a Glance
Yale Co-Authors
Frequent collaborators of Daniel Zelterman's published research.
Publications Timeline
A big-picture view of Daniel Zelterman's research output by year.
Becca Levy, PhD
Wei Wei, PhD
Amer Zeidan, MBBS
Joan K Monin, PhD
Michael Kane, PhD, MA, MS
Ondrej Blaha, PhD
140Publications
3,182Citations
Publications
2024
Perioperative Modified FOLFIRINOX for Resectable Pancreatic Cancer
Cecchini M, Salem R, Robert M, Czerniak S, Blaha O, Zelterman D, Rajaei M, Townsend J, Cai G, Chowdhury S, Yugawa D, Tseng R, Arbelaez C, Jiao J, Shroyer K, Thumar J, Kortmansky J, Zaheer W, Fischbach N, Persico J, Stein S, Khan S, Cha C, Billingsley K, Kunstman J, Johung K, Wiess C, Muzumdar M, Spickard E, Aushev V, Laliotis G, Jurdi A, Liu M, Escobar-Hoyos L, Lacy J. Perioperative Modified FOLFIRINOX for Resectable Pancreatic Cancer. JAMA Oncology 2024, 10: 1027-1035. PMID: 38900452, PMCID: PMC11190830, DOI: 10.1001/jamaoncol.2024.1575.Peer-Reviewed Original ResearchConceptsProgression-free survivalPancreatic ductal adenocarcinomaOverall survivalCtDNA levelsPhase 2 nonrandomized controlled trialAnalysis of circulating tumor DNAMedian progression-free survivalResectable pancreatic ductal adenocarcinomaControlled trialsAssess surgical candidacyBaseline ctDNA levelModified 5-fluorouracilResectable pancreatic cancerPancreatic protocol computed tomographyAssociated with recurrenceTumor molecular featuresAggressive malignant tumorKaplan-Meier estimatesRandomized clinical trialsStandard of careCtDNA-positivePreoperative cyclesNonrandomized controlled trialsUnresectable diseaseModified FOLFIRINOXA Bayesian platform trial design with hybrid control based on multisource exchangeability modelling
Wei W, Blaha O, Esserman D, Zelterman D, Kane M, Liu R, Lin J. A Bayesian platform trial design with hybrid control based on multisource exchangeability modelling. Statistics In Medicine 2024, 43: 2439-2451. PMID: 38594809, PMCID: PMC11325877, DOI: 10.1002/sim.10077.Peer-Reviewed Original ResearchCitations
2023
AKT/mTOR signaling modulates resistance to endocrine therapy and CDK4/6 inhibition in metastatic breast cancers
Abu-Khalaf M, Alex Hodge K, Hatzis C, Baldelli E, El Gazzah E, Valdes F, Sikov W, Mita M, Denduluri N, Murphy R, Zelterman D, Liotta L, Dunetz B, Dunetz R, Petricoin E, Pierobon M. AKT/mTOR signaling modulates resistance to endocrine therapy and CDK4/6 inhibition in metastatic breast cancers. Npj Precision Oncology 2023, 7: 18. PMID: 36797347, PMCID: PMC9935518, DOI: 10.1038/s41698-023-00360-5.Peer-Reviewed Original ResearchCitationsAltmetricConceptsEndocrine therapyProgressive diseaseCDK4/6 inhibitionImmune cellsTumor epitheliumOpen-label multicenter clinical trialMetastatic breast cancer patientsPI3K/AKT/mTOR activationFirst-line treatmentMetastatic breast cancerBreast cancer patientsAkt/mTOR activationMulticenter clinical trialAkt/mTORMBC patientsCancer patientsPredictive markerClinical trialsDisease progressionBreast cancerTreatment selectionTissue biopsiesPatientsNumber of FDAMTOR activationImplicit and Explicit Dehumanization of Older Family Members: Novel Determinants of Elder Abuse Proclivity
Chang E, Monin J, Isenberg N, Zelterman D, Levy B. Implicit and Explicit Dehumanization of Older Family Members: Novel Determinants of Elder Abuse Proclivity. Stigma And Health 2023, 8: 40-48. PMID: 37092028, PMCID: PMC10120856, DOI: 10.1037/sah0000370.Peer-Reviewed Original ResearchCitationsAltmetricConceptsExplicit dehumanizationElder abuseSelf-reported factorsOlder personsPsychological factorsOlder family membersCare-recipient healthDehumanizationFamily caregiversCurrent studyCaregiver burdenAbuseMost researchCaregiversProclivityWeb-based surveyRelevant covariatesPersonsCaregiver-based interventionsFamily membersVictimsHealthInterventionRelianceNovel determinant
2022
Regression methods for the appearances of extremes in climate data
Yu C, Blaha O, Kane M, Wei W, Esserman D, Zelterman D. Regression methods for the appearances of extremes in climate data. Environmetrics 2022, 33 DOI: 10.1002/env.2764.Peer-Reviewed Original ResearchCitationsAltmetricConceptsHandbook of Statistical Methods for Randomized Controlled Clinical Trials
Zelterman D. Handbook of Statistical Methods for Randomized Controlled Clinical Trials. Technometrics 2022, 64: 424-425. DOI: 10.1080/00401706.2022.2091872.Peer-Reviewed Original ResearchBayesian local exchangeability design for phase II basket trials
Liu Y, Kane M, Esserman D, Blaha O, Zelterman D, Wei W. Bayesian local exchangeability design for phase II basket trials. Statistics In Medicine 2022, 41: 4367-4384. PMID: 35777367, PMCID: PMC10279458, DOI: 10.1002/sim.9514.Peer-Reviewed Original ResearchCitationsApplied Multivariate Statistics with R
Zelterman D. Applied Multivariate Statistics with R. Statistics For Biology And Health 2022 DOI: 10.1007/978-3-031-13005-2.Peer-Reviewed Original ResearchCitationsAltmetricConceptsLinear algebraStatistical applicationsReal data setsMathematical derivationTime series modelsMultivariate statisticsR implementationNormal distributionTheoretical derivationSeries modelsPractical examplesStatisticsDerivationFactor methodAlgebraProgram RLarge dataData setsGraphical displayAnalytical methodZeltermanLinear regression
2021
Dehumanization of Older Family Members: Novel Determinants of Elder Abuse Proclivity by Caregivers
Chang E, Monin J, Zelterman D, Isenberg N, Levy B. Dehumanization of Older Family Members: Novel Determinants of Elder Abuse Proclivity by Caregivers. Innovation In Aging 2021, 5: 322-322. PMCID: PMC8680248, DOI: 10.1093/geroni/igab046.1250.Peer-Reviewed Original ResearchConceptsExplicit dehumanizationDenial of humannessFamily caregiversCaregiver burdenSelf-reported factorsCaregiver Abuse ScreenAge stereotypesAbuse perpetrationOlder personsPsychological factorsOlder family membersCare-recipient healthDehumanizationElder abuseAbuse ScreenCaregiversCurrent studyMost researchProclivityAbuseRelevant covariatesPersonsFamily membersPerpetrationHumannessStructural and Individual Ageism Predicts Elder Abuse Proclivity and Perpetration
Chang E, Monin J, Zelterman D, Levy B. Structural and Individual Ageism Predicts Elder Abuse Proclivity and Perpetration. Innovation In Aging 2021, 5: 89-89. PMCID: PMC8680997, DOI: 10.1093/geroni/igab046.338.Peer-Reviewed Original ResearchAltmetric
News & Links
Media
- In the French countryside
- Following a recent orchestra concert
- Blazing the Appalachian Trail in the Green Mountains of Vermont
News
- June 20, 2024
Chemotherapy Before Surgery Benefits Some Patients With Pancreatic Cancer
- December 12, 2022
4 longtime biostatistics professors look back on their years at YSPH
- June 30, 2020
Senior YSPH Professors Retiring
- November 26, 2010
Applied Linear Models with SAS
Related Links
Get In Touch
Contacts
Academic Office Number
Office Fax Number
Mailing Address
Emeritus Faculty
PO Box 1115
W Townshend, VT 05359
United States