{"doi":"10.48550/arxiv.2408.01375","title":"Adaptive Recruitment Resource Allocation to Improve Cohort Representativeness in Participatory Biomedical Datasets","abstract":"Large participatory biomedical studies - studies that recruit individuals to join a dataset - are gaining popularity and investment, especially for analysis by modern AI methods. Because they purposively recruit participants, these studies are uniquely able to address a lack of historical representation, an issue that has affected many biomedical datasets. In this work, we define representativeness as the similarity to a target population distribution of a set of attributes and our goal is to mirror the U.S. population across distributions of age, gender, race, and ethnicity. Many participatory studies recruit at several institutions, so we introduce a computational approach to adaptively allocate recruitment resources among sites to improve representativeness. In simulated recruitment of 10,000-participant cohorts from medical centers in the STAR Clinical Research Network, we show that our approach yields a more representative cohort than existing baselines. Thus, we highlight the value of computational modeling in guiding recruitment efforts.","journal":"PubMed","year":2024,"id":492812,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":1,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9557,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2024-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":1339030,"name":"Andrew Estornell","orcid":"0000-0001-7134-2081","position":1,"is_corresponding":false},{"id":368926,"name":"Ellen Wright Clayton","orcid":"0000-0002-0308-4110","position":2,"is_corresponding":false},{"id":1339031,"name":"Chien-Ju Ho","orcid":"0000-0002-7558-7702","position":3,"is_corresponding":false},{"id":336559,"name":"Russell L. Rothman","orcid":"0000-0002-1506-3990","position":4,"is_corresponding":false},{"id":371613,"name":"Yevgeniy Vorobeychik","orcid":"0000-0003-2471-5345","position":5,"is_corresponding":false},{"id":320509,"name":"Bradley Malin","orcid":"0000-0003-3040-5175","position":6,"is_corresponding":false},{"id":742084,"name":"Victor Borza","orcid":"0000-0002-5807-3996","position":0,"is_corresponding":true}],"reference_count":1,"raw_metadata":null,"created_at":"2026-07-19T02:08:56.210382Z","pmid":"40417546","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}