{"doi":"10.1289/ehp13891","title":"Using Parametric g-Computation for Time-to-Event Data and Distributed Lag Models to Identify Critical Exposure Windows for Preterm Birth: An Illustrative Example Using PM2.5 in a Retrospective Birth Cohort Based in Eastern Massachusetts (2011–2016)","abstract":"BACKGROUND: Parametric g-computation is an attractive analytic framework to study the health effects of air pollution. Yet, the ability to explore biologically relevant exposure windows within this framework is underdeveloped. OBJECTIVES: during pregnancy and the risk of preterm birth (PTB). METHODS: grid model and assigned to address at birth. Models were adjusted for sociodemographics, time trends, nitrogen dioxide, and temperature. To facilitate implementation, we provide a detailed description of the procedure and accompanying R syntax. RESULTS: , 0.007) in comparison with the scenario had we not intervened, which translates to about 86 fewer PTBs in this cohort. We also observed that the critical exposure window appeared to be weeks 5-20. DISCUSSION: )] during gestational weeks 5-20 could potentially lower the risk of PTB. https://doi.org/10.1289/EHP13891.","journal":"Environmental Health Perspectives","year":2024,"id":440749,"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":9,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.952,"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":68462,"name":"Marc G. Weisskopf","orcid":null,"position":1,"is_corresponding":false},{"id":473617,"name":"Anna M. Modest","orcid":"0000-0001-6543-4078","position":2,"is_corresponding":false},{"id":326033,"name":"Michele R. Hacker","orcid":"0000-0003-0217-9991","position":3,"is_corresponding":false},{"id":337317,"name":"Hari S. Iyer","orcid":"0000-0002-7596-9049","position":4,"is_corresponding":false},{"id":104572,"name":"Jaime E. Hart","orcid":"0000-0002-0826-1163","position":5,"is_corresponding":false},{"id":286529,"name":"Yaguang Wei","orcid":"0000-0002-6796-7510","position":6,"is_corresponding":false},{"id":71914,"name":"Joel Schwartz","orcid":"0000-0001-6168-378X","position":7,"is_corresponding":false},{"id":94039,"name":"Brent A. Coull","orcid":"0000-0002-1808-4156","position":8,"is_corresponding":false},{"id":86191,"name":"Francine Laden","orcid":"0000-0002-2813-2174","position":9,"is_corresponding":false},{"id":18642,"name":"Stefania I. Papatheodorou","orcid":"0000-0002-9451-9094","position":10,"is_corresponding":false},{"id":691095,"name":"Michael Leung","orcid":"0000-0003-4831-9566","position":0,"is_corresponding":true}],"reference_count":51,"raw_metadata":null,"created_at":"2026-07-19T02:01:01.842286Z","pmid":"38995210","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":[]}