2020
Estimating the size of a hidden finite set: Large-sample behavior of estimators
Cheng S, Eck D, Crawford F. Estimating the size of a hidden finite set: Large-sample behavior of estimators. Statistics Surveys 2020, 14: 1-31. DOI: 10.1214/19-ss127.Peer-Reviewed Original ResearchFinite setLarge sample behaviorStatistical propertiesAsymptotic propertiesAsymptotic regimeSampling probabilityHidden setStatistical approachStructural assumptionsIndirect statistical approachEstimatorDeterministic queriesDifferent modelsRandom samplingSetPopulation sizeSample increasesSample sizePropertiesRegimeModelProbabilityAssumptionSampling
2017
Using data from respondent-driven sampling studies to estimate the number of people who inject drugs: Application to the Kohtla-Järve region of Estonia
Wu J, Crawford FW, Raag M, Heimer R, Uusküla A. Using data from respondent-driven sampling studies to estimate the number of people who inject drugs: Application to the Kohtla-Järve region of Estonia. PLOS ONE 2017, 12: e0185711. PMID: 29095866, PMCID: PMC5667832, DOI: 10.1371/journal.pone.0185711.Peer-Reviewed Original ResearchConceptsHIV risk groupRespondent-driven sampling studyRisk groupsEffective public health intervention programsPublic health intervention programsStatistical approachKey risk populationsHealth intervention programsPopulation size estimationPractical assumptionsNumber of peopleRisk populationsSuccessive samplingIntervention programsSize estimationDrugsEstimatesSampling studyGroup