{"doi":"10.1093/jamia/ocaf198","title":"A lossless one-shot distributed algorithm for addressing heterogeneity in multi-site generalized linear models","abstract":"OBJECTIVE: We propose Heterogeneity-aware Collaborative One-shot Lossless Algorithm for Generalized Linear Model (COLA-GLM-H), a novel one-shot lossless distributed algorithm that enables the integration of heterogeneous multi-institutional data while relying solely on instituion-level summary information rather than patient-level data. MATERIALS AND METHODS: Generalized Linear Models (GLMs) are widely used in medical research for analyzing diverse outcome types. In multi-institution settings, we demonstrated that the global likelihood can be reconstructed using only institution-level summary statistics, enabling lossless estimation without accessing individual records. We validated COLA-GLM-H in two real-world studies: (1) an emulated U.S. pediatric centralized network (719,383 patients) evaluating long-term cardiovascular risks following COVID-19, and (2) an internationally decentralized network of 120,429 hospitalized patients from seven databases across three countries assessing risk factors for COVID-19 mortality. RESULTS: In the centralized network, COLA-GLM-H produced estimates identical to those from pooled analyses. In the decentralized setting, the algorithm effectively integrated heterogeneous data across multiple clinical institutions using a single communication round. CONCLUSIONS: COLA-GLM-H provides a lossless, communication-efficient, and computation-efficient solution for multi-institutional research using only institution-level summary data. It accounts for between-institution heterogeneity and supports all outcome types within the exponential family, enabling secure, scalable, and accurate analysis in collaborative clinical research.","journal":"Journal of the American Medical Informatics Association","year":2025,"id":535454,"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":2,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9451,"is_data_producer":false,"deposit_databanks":null,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2025-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":447919,"name":"Qiong Wu","orcid":"0000-0001-5747-1899","position":1,"is_corresponding":false},{"id":258109,"name":"Jenna Reps","orcid":"0000-0002-2970-0778","position":2,"is_corresponding":false},{"id":1163295,"name":"Lu Li","orcid":"0000-0002-2891-6067","position":3,"is_corresponding":false},{"id":300699,"name":"Jiayi Tong","orcid":"0000-0002-1213-6699","position":4,"is_corresponding":false},{"id":331746,"name":"Yiwen Lu","orcid":"0000-0003-4921-7406","position":5,"is_corresponding":false},{"id":1093138,"name":"Dazheng Zhang","orcid":"0000-0002-1431-0785","position":6,"is_corresponding":false},{"id":32110,"name":"Juan Manuel Ramírez‐Anguita","orcid":"0000-0002-8509-0927","position":7,"is_corresponding":false},{"id":23318,"name":"Jiang Bian","orcid":"0000-0002-2238-5429","position":8,"is_corresponding":false},{"id":1419542,"name":"Milou T Brand","orcid":null,"position":9,"is_corresponding":false},{"id":266935,"name":"Thomas Falconer","orcid":"0000-0001-6904-1394","position":10,"is_corresponding":false},{"id":32066,"name":"Miguel Ángel Mayer","orcid":"0000-0003-0362-6298","position":11,"is_corresponding":false},{"id":266937,"name":"Ross D. Williams","orcid":"0000-0001-7723-417X","position":12,"is_corresponding":false},{"id":776229,"name":"Yong Chen","orcid":"0000-0003-3845-6225","position":13,"is_corresponding":false},{"id":1411849,"name":"Bingyu Zhang","orcid":"0000-0001-8827-795X","position":0,"is_corresponding":true}],"reference_count":35,"raw_metadata":null,"created_at":"2026-07-19T02:51:56.297114Z","pmid":"41259033","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":[]}