Forrest W. Crawford, PhD
Associate Professor Adjunct of BiostatisticsDownloadHi-Res Photo
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Associate Professor Adjunct of Biostatistics
Biography
Forrest Crawford's work focuses on mathematical and statistical problems related to discrete structures and stochastic processes in epidemiology, public health, biomedicine, and evolutionary science.
Last Updated on December 14, 2024.
Appointments
Biostatistics
Associate Professor AdjunctPrimary
Other Departments & Organizations
- Biostatistics
- Computational Biology and Bioinformatics
- Public Health Modeling
- Yale School of Public Health
- Yale-BI Biomedical Data Science Fellowship
- Yale-UPR Integrated HIV Basic and Clinical Sciences Initiative
Education & Training
- PhD
- University of California at Los Angeles (2012)
- MS
- University of California Los Angeles (2009)
Research
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Overview
Medical Research Interests
Biostatistics
Public Health Interests
Infectious Diseases; Modeling; COVID-19
ORCID
0000-0002-0046-0547- View Lab Website
crawfordlab.io
Research at a Glance
Yale Co-Authors
Frequent collaborators of Forrest W. Crawford's published research.
Publications Timeline
A big-picture view of Forrest W. Crawford's research output by year.
Research Interests
Research topics Forrest W. Crawford is interested in exploring.
Ted Cohen, DPH, MD, MPH
Frederick Lewis Altice, MD, MA
Gregg Gonsalves, PhD
Kaveh Khoshnood, PhD, MPH
A. David Paltiel, MBA, PhD
Daniel Weinberger, PhD
78Publications
3,297Citations
Biostatistics
Publications
2025
Mutually exciting point processes for crowdfunding platform dynamics
Djorno A, Crawford F. Mutually exciting point processes for crowdfunding platform dynamics. The Annals Of Applied Statistics 2025, 19: 1931-1947. DOI: 10.1214/25-aoas2051.Peer-Reviewed Original Research
2024
Communication network dynamics in a large organizational hierarchy
Josephs N, Peng S, Crawford F. Communication network dynamics in a large organizational hierarchy. The Annals Of Applied Statistics 2024, 18 DOI: 10.1214/24-aoas1919.Peer-Reviewed Original ResearchConcepts
2023
Geographic and temporal trends in fentanyl-detected deaths in Connecticut, 2009–2019
Lu H, Crawford F, Gonsalves G, Grau L. Geographic and temporal trends in fentanyl-detected deaths in Connecticut, 2009–2019. Annals Of Epidemiology 2023, 79: 32-38. PMID: 36669599, PMCID: PMC10163838, DOI: 10.1016/j.annepidem.2023.01.009.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and Concepts
2022
Dependence-Robust Confidence Intervals for Capture–Recapture Surveys
Sun J, Van Baelen L, Plettinckx E, Crawford F. Dependence-Robust Confidence Intervals for Capture–Recapture Surveys. Journal Of Survey Statistics And Methodology 2022, 11: 1133-1154. PMID: 37975066, PMCID: PMC10646701, DOI: 10.1093/jssam/smac031.Peer-Reviewed Original ResearchCitationsAltmetricRandomized controlled trials of biomarker targets
Erlendsdottir M, Crawford F. Randomized controlled trials of biomarker targets. Clinical Trials 2022, 20: 47-58. PMID: 36373783, PMCID: PMC9974557, DOI: 10.1177/17407745221131820.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsConceptsBlood pressure targetsManagement of hypertensionPressure targetsTreatment strategiesBiomarker targetsControlled TrialsRandomized trialsPatient populationLower blood pressure targetsIntensive blood pressure controlAcute respiratory distress syndromePhysicians attemptNew randomized trialsBlood pressure controlRespiratory distress syndromeLack of blindingTrial patient populationValidity of trialsAdaptive treatment strategiesAntihypertensive medicationsAvailable medicationsDistress syndromeTreat analysisTime-varying confoundingTreatment algorithmRandomization for the susceptibility effect of an infectious disease intervention
Eck DJ, Morozova O, Crawford FW. Randomization for the susceptibility effect of an infectious disease intervention. Journal Of Mathematical Biology 2022, 85: 37. PMID: 36127558, PMCID: PMC9809173, DOI: 10.1007/s00285-022-01801-8.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsInfectious disease interventionsInfection outcomesInfection riskDisease interventionDirect effectRandomized trialsTreatment allocationInfectious disease transmissionStudy subjectsHarmful treatmentPathogen of interestInterventionOutcomesTreatmentRandomization designVaccineDisease transmissionSusceptibility effectsTrialsRiskRandomizationInfectionIndividualsA Sample Size Formula for Network Scale-up Studies
Josephs N, Feehan D, Crawford F. A Sample Size Formula for Network Scale-up Studies. Sociological Methods & Research 2022, 53: 1252-1289. DOI: 10.1177/00491241221122576.Peer-Reviewed Original ResearchCitationsConceptsSample size formulaRelative error propertySize formulaError propertiesPopulation size estimationNetwork scaleStatistical precisionSimple formMinimum sample sizeNetwork modelSample size calculationSample sizeNSUMSingle random sampleFormulaSize estimationSize calculationSubpopulations of interestEstimatorEstimationSampled individualsEvaluating the Mediating Role of Recall of Intervention Knowledge in the Relationship Between a Peer-Driven Intervention and HIV Risk Behaviors Among People Who Inject Drugs
Aroke H, Buchanan A, Katenka N, Crawford FW, Lee T, Halloran ME, Latkin C. Evaluating the Mediating Role of Recall of Intervention Knowledge in the Relationship Between a Peer-Driven Intervention and HIV Risk Behaviors Among People Who Inject Drugs. AIDS And Behavior 2022, 27: 578-590. PMID: 35932359, PMCID: PMC10408304, DOI: 10.1007/s10461-022-03792-5.Peer-Reviewed Original ResearchCitationsMeSH Keywords and ConceptsConceptsInjection-related risk behaviorsPeer-driven interventionRisk behaviorsIntervention knowledgeHIV injection risk behaviorsHIV risk behaviorsInjection risk behaviorsMarginal structural modelsPotential causal pathwaysHIV testingIndex participantsRisk ratioInverse probabilityIntervention NetworkInterventionPeer educatorsTotal effectCausal pathwaysVisitsDrugsFuture studiesParticipantsOutcomesDirect effectPWIDSociodemographic characteristics and HIV risk behaviors of native-born and displaced Syrian men and transgender women who have sex with men in Lebanon
Orr LV, Crawford FW, Khoshnood K, Khouri D, Fouad FM, Seal DW, Heimer R. Sociodemographic characteristics and HIV risk behaviors of native-born and displaced Syrian men and transgender women who have sex with men in Lebanon. AIDS And Behavior 2022, 26: 4004-4011. PMID: 35672550, DOI: 10.1007/s10461-022-03726-1.Peer-Reviewed Original ResearchAltmetricMeSH Keywords and ConceptsSARS-CoV-2 Attack Rate and Population Immunity in Southern New England, March 2020 to May 2021
Tran TN, Wikle NB, Yang F, Inam H, Leighow S, Gentilesco B, Chan P, Albert E, Strong ER, Pritchard JR, Hanage WP, Hanks EM, Crawford FW, Boni MF. SARS-CoV-2 Attack Rate and Population Immunity in Southern New England, March 2020 to May 2021. JAMA Network Open 2022, 5: e2214171. PMID: 35616938, PMCID: PMC9136627, DOI: 10.1001/jamanetworkopen.2022.14171.Peer-Reviewed Original ResearchCitationsAltmetricMeSH Keywords and ConceptsConceptsHigh vaccine coveragePopulation immunityPublic health agenciesVaccine coverageVaccination campaignMAIN OUTCOMECOVID-19 positive test resultsSARS-CoV-2 attack ratesIntensive care unit occupancyHealth agenciesLarge epidemic waveProportion of vaccinesAttack rateObservational case seriesPopulation-level immunitySARS-CoV-2Median ageCase seriesCOVID-19 casesPercentage of individualsVaccination planningDelta variantOngoing epidemicPandemic settingVaccine
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News
- March 24, 2025
Data Scientists Discuss Digital Health Equity at Yale Conference
- September 17, 2024
YSPH researchers launch major initiative to improve HIV outbreak detection among people who use drugs
- November 07, 2023
Alumni Day highlights data-driven leadership
- January 10, 2023
Biostatistics Modelers Pioneering a New Direction for Public Health Investigations
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