{"id":"https://openalex.org/W3010608205","doi":"https://doi.org/10.1097/ede.0000000000001180","title":"Robust Metrics and Sensitivity Analyses for Meta-analyses of Heterogeneous Effects","display_name":"Robust Metrics and Sensitivity Analyses for Meta-analyses of Heterogeneous Effects","publication_year":2020,"publication_date":"2020-03-06","ids":{"openalex":"https://openalex.org/W3010608205","doi":"https://doi.org/10.1097/ede.0000000000001180","mag":"3010608205","pmid":"https://pubmed.ncbi.nlm.nih.gov/32141922","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7963111"},"language":"en","primary_location":{"id":"doi:10.1097/ede.0000000000001180","doi":"https://doi.org/10.1097/ede.0000000000001180","is_oa":false,"landing_page_url":"https://doi.org/10.1097/ede.0000000000001180","pdf_url":null,"source":{"id":"https://openalex.org/S15470582","display_name":"Epidemiology","issn_l":"1044-3983","issn":["1044-3983","1531-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315671","host_organization_name":"Lippincott Williams & Wilkins","host_organization_lineage":["https://openalex.org/P4310315671","https://openalex.org/P4310318547"],"host_organization_lineage_names":["Lippincott Williams & Wilkins","Wolters Kluwer"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Epidemiology","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7963111","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021906307","display_name":"Maya B. Mathur","orcid":"https://orcid.org/0000-0001-6698-2607","observed_orcids":["https://orcid.org/0000-0001-6698-2607"]},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Maya B. Mathur","raw_affiliation_strings":["Quantitative Sciences Unit, Stanford University, Palo Alto, CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Quantitative Sciences Unit, Stanford University, Palo Alto, CA","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028103646","display_name":"Tyler J. VanderWeele","orcid":"https://orcid.org/0000-0002-6112-0239","observed_orcids":["https://orcid.org/0000-0002-6112-0239"]},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tyler J. VanderWeele","raw_affiliation_strings":["Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA","institution_ids":["https://openalex.org/I136199984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":6.5294,"has_fulltext":false,"cited_by_count":135,"citation_normalized_percentile":{"value":0.97585085,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"31","issue":"3","first_page":"356","last_page":"358"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10206","display_name":"Meta-analysis and systematic reviews","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10206","display_name":"Meta-analysis and systematic reviews","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14374","display_name":"Statistical Methods in Epidemiology","score":0.0010000000474974513,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.0008999999845400453,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/random-effects-meta-analysis","display_name":"random-effects meta-analysis","score":0.8529999852180481},{"id":"https://openalex.org/keywords/effect-heterogeneity","display_name":"heterogeneous effects","score":0.9100000262260437},{"id":"https://openalex.org/keywords/robust-estimation","display_name":"robust estimation","score":0.6380000114440918},{"id":"https://openalex.org/keywords/sensitivity-analysis","display_name":"sensitivity analysis","score":0.7490000128746033},{"id":"https://openalex.org/keywords/unmeasured-confounding","display_name":"unmeasured confounding","score":0.9850000143051147},{"id":"https://openalex.org/keywords/quality-of-evidence","display_name":"quality of evidence","score":0.5920000076293945}],"concepts":[{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6603987216949463},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.6094213128089905},{"id":"https://openalex.org/C77350462","wikidata":"https://www.wikidata.org/wiki/Q1125472","display_name":"Confounding","level":2,"score":0.6044198870658875},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5951297879219055},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.5872174501419067},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.582793653011322},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5773245692253113},{"id":"https://openalex.org/C41426520","wikidata":"https://www.wikidata.org/wiki/Q1192065","display_name":"Point estimation","level":2,"score":0.5663015246391296},{"id":"https://openalex.org/C158600405","wikidata":"https://www.wikidata.org/wiki/Q5054566","display_name":"Causal inference","level":2,"score":0.5526285767555237},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4475659430027008},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.4450390934944153},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.39687004685401917},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3960426449775696},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1426205039024353},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13590845465660095},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012107","descriptor_name":"Research Design","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015201","descriptor_name":"Meta-Analysis as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1097/ede.0000000000001180","doi":"https://doi.org/10.1097/ede.0000000000001180","is_oa":false,"landing_page_url":"https://doi.org/10.1097/ede.0000000000001180","pdf_url":null,"source":{"id":"https://openalex.org/S15470582","display_name":"Epidemiology","issn_l":"1044-3983","issn":["1044-3983","1531-5487"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","dongbi-b","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310315671","host_organization_name":"Lippincott Williams & Wilkins","host_organization_lineage":["https://openalex.org/P4310315671","https://openalex.org/P4310318547"],"host_organization_lineage_names":["Lippincott Williams & Wilkins","Wolters Kluwer"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Epidemiology","raw_type":"journal-article"},{"id":"pmid:32141922","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32141922","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Epidemiology (Cambridge, Mass.)","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7963111","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7963111","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Epidemiology","raw_type":"Text"},{"id":"pmh:oai:RePEc:osf:osfxxx:r2s78_v1","doi":null,"is_oa":false,"landing_page_url":"https://osf.io/download/5ef6957a02d64d00b16c9072/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"preprint"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7963111","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7963111","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Epidemiology","raw_type":"Text"},"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G274507576","display_name":"Theory and methods for mediation and interaction","funder_award_id":"R01CA222147","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1784175517","https://openalex.org/W2001585245","https://openalex.org/W2107328434","https://openalex.org/W2126728600","https://openalex.org/W2155982020","https://openalex.org/W2902529531","https://openalex.org/W2921134459","https://openalex.org/W2953047910"],"related_works":["https://openalex.org/W2902529531","https://openalex.org/W4408927973","https://openalex.org/W3128240167","https://openalex.org/W3195877582","https://openalex.org/W3199520066","https://openalex.org/W4408928200","https://openalex.org/W7118240486","https://openalex.org/W2793093316","https://openalex.org/W7116317242","https://openalex.org/W4399861928"],"abstract_inverted_index":{"We":[0,137],"recently":[1],"suggested":[2,33,48],"new":[3],"statistical":[4],"metrics":[5],"for":[6,16,105,148],"routine":[7],"reporting":[8,34,49],"in":[9,61,121,130,151],"random-effects":[10],"meta-analyses":[11],"to":[12,144],"convey":[13],"evidence":[14],"strength":[15],"scientifically":[17],"meaningful":[18,29],"effects":[19,77],"under":[20,113],"effect":[21,30,41,53],"heterogeneity.":[22],"First,":[23],"given":[24],"a":[25,56],"chosen":[26],"threshold":[27,60],"of":[28,38,52,84,140],"size,":[31],"we":[32,47,100,119],"the":[35,50,62,66,74,82,91,131,141],"estimated":[36,67],"proportion":[37,51,92],"true":[39,75],"population":[40,76],"sizes":[42,54],"above":[43],"this":[44],"threshold.":[45],"Second,":[46],"below":[55],"second,":[57],"possibly":[58],"symmetric,":[59],"opposite":[63],"direction":[64],"from":[65],"mean.":[68],"Our":[69],"previous":[70],"methods":[71,104,127,143],"applied":[72],"when":[73,81,90],"are":[78,128],"approximately":[79,95],"normal,":[80],"number":[83],"studies":[85],"is":[86,93],"relatively":[87],"large,":[88],"and":[89,97,108],"between":[94],"0.15":[96],"0.85.":[98],"Here,":[99],"additionally":[101],"describe":[102,138],"robust":[103,142],"point":[106],"estimation":[107],"inference":[109],"that":[110],"perform":[111],"well":[112],"considerably":[114],"more":[115],"general":[116],"conditions,":[117],"as":[118],"validate":[120],"an":[122],"extensive":[123],"simulation":[124],"study.":[125],"The":[126],"implemented":[129],"R":[132],"package":[133],"MetaUtility":[134],"(function":[135],"prop_stronger).":[136],"application":[139],"conducting":[145],"sensitivity":[146],"analyses":[147],"unmeasured":[149],"confounding":[150],"meta-analyses.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":17},{"year":2025,"cited_by_count":60},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":1}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2020-03-13T00:00:00"}