{"id":"https://openalex.org/W4416057335","doi":"https://doi.org/10.21105/joss.08692","title":"fgwqsr: An R package for Frequentist Grouped Weighted Quantile Sum Regression","display_name":"fgwqsr: An R package for Frequentist Grouped Weighted Quantile Sum Regression","publication_year":2025,"publication_date":"2025-11-09","ids":{"openalex":"https://openalex.org/W4416057335","doi":"https://doi.org/10.21105/joss.08692"},"language":null,"primary_location":{"id":"doi:10.21105/joss.08692","is_oa":true,"landing_page_url":"https://doi.org/10.21105/joss.08692","pdf_url":"https://joss.theoj.org/papers/10.21105/joss.08692.pdf","source":{"id":"https://openalex.org/S4210214273","display_name":"The Journal of Open Source Software","issn_l":"2475-9066","issn":["2475-9066"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315853","host_organization_name":"Open Journals","host_organization_lineage":["https://openalex.org/P4310315853"],"host_organization_lineage_names":["Open Journals"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Open Source Software","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://joss.theoj.org/papers/10.21105/joss.08692.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5017657131","display_name":"Daniel Rud","orcid":"https://orcid.org/0000-0002-0508-4552"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Rud","raw_affiliation_strings":["Department of Population and Public Health Sciences, University of Southern California, USA"],"raw_orcid":"https://orcid.org/0000-0002-0508-4552","affiliations":[{"raw_affiliation_string":"Department of Population and Public Health Sciences, University of Southern California, USA","institution_ids":["https://openalex.org/I1174212"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047860888","display_name":"Juan Pablo Lewinger","orcid":"https://orcid.org/0000-0002-0692-2570"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Juan Pablo Lewinger","raw_affiliation_strings":["Department of Population and Public Health Sciences, University of Southern California, USA"],"raw_orcid":"https://orcid.org/0000-0002-0692-2570","affiliations":[{"raw_affiliation_string":"Department of Population and Public Health Sciences, University of Southern California, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1174212"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24690866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"10","issue":"115","first_page":"8692","last_page":"8692"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.26820001006126404,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.26820001006126404,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.2583000063896179,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.07320000231266022,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/frequentist-inference","display_name":"Frequentist inference","score":0.8529000282287598},{"id":"https://openalex.org/keywords/quantile-regression","display_name":"Quantile regression","score":0.6442999839782715},{"id":"https://openalex.org/keywords/r-package","display_name":"R package","score":0.6211000084877014},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.5060999989509583},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4424999952316284},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.42480000853538513}],"concepts":[{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.8529000282287598},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6547999978065491},{"id":"https://openalex.org/C63817138","wikidata":"https://www.wikidata.org/wiki/Q3455889","display_name":"Quantile regression","level":2,"score":0.6442999839782715},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.640500009059906},{"id":"https://openalex.org/C2984074130","wikidata":"https://www.wikidata.org/wiki/Q73539779","display_name":"R package","level":2,"score":0.6211000084877014},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.5060999989509583},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.48080000281333923},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4424999952316284},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.42480000853538513},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C185265303","wikidata":"https://www.wikidata.org/wiki/Q7309537","display_name":"Regression dilution","level":4,"score":0.3303999900817871},{"id":"https://openalex.org/C120068334","wikidata":"https://www.wikidata.org/wiki/Q45343","display_name":"Polynomial regression","level":3,"score":0.28040000796318054},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.2660999894142151}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.21105/joss.08692","is_oa":true,"landing_page_url":"https://doi.org/10.21105/joss.08692","pdf_url":"https://joss.theoj.org/papers/10.21105/joss.08692.pdf","source":{"id":"https://openalex.org/S4210214273","display_name":"The Journal of Open Source Software","issn_l":"2475-9066","issn":["2475-9066"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315853","host_organization_name":"Open Journals","host_organization_lineage":["https://openalex.org/P4310315853"],"host_organization_lineage_names":["Open Journals"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Open Source Software","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.21105/joss.08692","is_oa":true,"landing_page_url":"https://doi.org/10.21105/joss.08692","pdf_url":"https://joss.theoj.org/papers/10.21105/joss.08692.pdf","source":{"id":"https://openalex.org/S4210214273","display_name":"The Journal of Open Source Software","issn_l":"2475-9066","issn":["2475-9066"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315853","host_organization_name":"Open Journals","host_organization_lineage":["https://openalex.org/P4310315853"],"host_organization_lineage_names":["Open Journals"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Open Source Software","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416057335.pdf","grobid_xml":"https://content.openalex.org/works/W4416057335.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W1999414566","https://openalex.org/W2795561663","https://openalex.org/W2970829312","https://openalex.org/W3120753907","https://openalex.org/W3147125135","https://openalex.org/W4210489972","https://openalex.org/W4409365863"],"related_works":[],"abstract_inverted_index":{"Environmental":[0],"epidemiologists":[1],"frequently":[2],"study":[3],"the":[4,27],"effects":[5],"of":[6],"chemical":[7],"and":[8],"pollutant":[9],"exposures":[10,30],"on":[11,20],"health":[12],"outcomes.Beyond":[13],"single-constituent":[14],"models,":[15],"recent":[16],"epidemiological":[17],"methods":[18],"focus":[19],"modeling":[21],"exposure":[22],"mixtures":[23],"jointly,":[24],"accounting":[25],"for":[26],"correlation":[28],"between":[29],"arising":[31],"from":[32],"common":[33],"sources":[34],"(Carrico":[35],"et":[36],"al.,":[37]},"counts_by_year":[],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-11-09T00:00:00"}