{"id":"https://openalex.org/W4408928188","doi":"https://doi.org/10.31222/osf.io/tp45u_v1","title":"Using Selection Models to Assess Sensitivity to Publication Bias: A Tutorial and Call for More Routine Use","display_name":"Using Selection Models to Assess Sensitivity to Publication Bias: A Tutorial and Call for More Routine Use","publication_year":2021,"publication_date":"2021-08-26","ids":{"openalex":"https://openalex.org/W4408928188","doi":"https://doi.org/10.31222/osf.io/tp45u_v1"},"language":"en","primary_location":{"id":"doi:10.31222/osf.io/tp45u_v1","doi":"https://doi.org/10.31222/osf.io/tp45u_v1","is_oa":true,"landing_page_url":"https://doi.org/10.31222/osf.io/tp45u_v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306402619","display_name":"MetArXiv (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.31222/osf.io/tp45u_v1","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5010476241","display_name":"Maximilian Maier","orcid":"https://orcid.org/0000-0002-9873-6096","observed_orcids":["https://orcid.org/0000-0002-9873-6096"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maximilian Maier","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","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":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tyler J. VanderWeele","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-6112-0239","affiliations":[]},{"author_position":"last","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":[],"countries":[],"is_corresponding":false,"raw_author_name":"Maya B Mathur","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10206","display_name":"Meta-analysis and systematic reviews","score":0.9990000128746033,"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":0.9990000128746033,"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":0.00019999999494757503,"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/T10102","display_name":"scientometrics and bibliometrics research","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/3309","display_name":"Library and Information Sciences"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/publication-bias","display_name":"publication bias","score":0.9890000224113464},{"id":"https://openalex.org/keywords/selection-model","display_name":"selection model","score":0.9900000095367432},{"id":"https://openalex.org/keywords/meta-analysis","display_name":"meta-analysis","score":0.7369999885559082},{"id":"https://openalex.org/keywords/funnel-plot","display_name":"funnel plot","score":0.7250000238418579},{"id":"https://openalex.org/keywords/egger-s-test","display_name":"Egger's test","score":0.9959999918937683},{"id":"https://openalex.org/keywords/trim-and-fill","display_name":"trim and fill","score":0.890999972820282},{"id":"https://openalex.org/keywords/effect-heterogeneity","display_name":"heterogeneous effects","score":0.8830000162124634},{"id":"https://openalex.org/keywords/reporting-practices","display_name":"reporting practices","score":0.6110000014305115}],"concepts":[{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.7064551115036011},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6866452693939209},{"id":"https://openalex.org/C40423286","wikidata":"https://www.wikidata.org/wiki/Q284172","display_name":"Selection bias","level":2,"score":0.5510856509208679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5390415191650391},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.52364182472229},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33394959568977356},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.32433319091796875},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.22327977418899536},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.20538878440856934},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.1781597137451172},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14809051156044006},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.14391064643859863},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.31222/osf.io/tp45u_v1","doi":"https://doi.org/10.31222/osf.io/tp45u_v1","is_oa":true,"landing_page_url":"https://doi.org/10.31222/osf.io/tp45u_v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306402619","display_name":"MetArXiv (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"}],"best_oa_location":{"id":"doi:10.31222/osf.io/tp45u_v1","doi":"https://doi.org/10.31222/osf.io/tp45u_v1","is_oa":true,"landing_page_url":"https://doi.org/10.31222/osf.io/tp45u_v1","pdf_url":null,"source":{"id":"https://openalex.org/S4306402619","display_name":"MetArXiv (OSF Preprints)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2799848540","host_organization_name":"Center for Open Science","host_organization_lineage":["https://openalex.org/I2799848540"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nd","license_id":"https://openalex.org/licenses/cc-by-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"posted-content"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W6901857438","https://openalex.org/W2932936731","https://openalex.org/W2524737933","https://openalex.org/W3195877582","https://openalex.org/W2028853315","https://openalex.org/W2111636520","https://openalex.org/W2109204419","https://openalex.org/W2009813561","https://openalex.org/W4241124607","https://openalex.org/W1590137713"],"abstract_inverted_index":{"In":[0,109],"meta-analyses,":[1],"it":[2],"is":[3],"critical":[4],"to":[5,9,37,126,140,194],"assess":[6],"the":[7,16,22,32,72,83,97,149,173,212],"extent":[8],"which":[10],"publication":[11,54,77,84,121,155,221],"bias":[12,55,122,156,222],"might":[13],"have":[14,30,66],"compromised":[15],"results.":[17],"Classical":[18],"methods":[19,36,65,123,147],"based":[20],"on":[21],"funnel":[23,63,131,208],"plot,":[24],"including":[25],"Egger\u2019s":[26],"test":[27],"and":[28,93,100,142,161,176],"Trim-and-Fill,":[29],"become":[31],"de":[33],"facto":[34],"default":[35],"do":[38],"so,":[39],"with":[40],"a":[41],"large":[42,87],"majority":[43],"of":[44,75,111,129,214],"recent":[45],"meta-analyses":[46,117,193],"in":[47,124,172,186],"top":[48],"medical":[49],"journals":[50],"(85%)":[51],"assessing":[52,76],"for":[53,90,220],"exclusively":[56],"using":[57],"these":[58,61,112],"methods.":[59,133],"However,":[60],"classical":[62,130],"plot":[64,132,209],"important":[67],"limitations":[68],"when":[69,105],"used":[70],"as":[71],"sole":[73],"means":[74],"bias:":[78],"they":[79,101],"essentially":[80],"assume":[81],"that":[82,116,154,162,196,202],"process":[85],"favors":[86,157],"point":[88],"estimates":[89],"small":[91],"studies":[92],"does":[94],"not":[95],"affect":[96],"largest":[98],"studies,":[99],"can":[102,199],"perform":[103],"poorly":[104],"effects":[106],"are":[107,170,177],"heterogeneous.":[108],"light":[110],"limitations,":[113],"we":[114,137],"recommend":[115],"routinely":[118],"apply":[119],"other":[120],"addition":[125],"or":[127],"instead":[128],"To":[134],"this":[135],"end,":[136],"describe":[138],"how":[139],"use":[141,190],"interpret":[143],"selection":[144,197],"models.":[145],"These":[146],"make":[148],"often":[150],"more":[151,216],"realistic":[152],"assumption":[153],"``statistically":[158],"significant''":[159],"results":[160],"also":[163],"directly":[164],"accommodate":[165],"effect":[166],"heterogeneity.":[167],"Selection":[168],"models":[169,198],"well-established":[171],"statistics":[174],"literature":[175],"supported":[178],"by":[179,207],"user-friendly":[180],"software,":[181],"yet":[182],"remain":[183],"rarely":[184],"reported":[185],"many":[187],"disciplines.":[188],"We":[189],"previously":[191],"published":[192],"demonstrate":[195],"yield":[200],"insights":[201],"extend":[203],"beyond":[204],"those":[205],"provided":[206],"methods,":[210],"suggesting":[211],"importance":[213],"establishing":[215],"comprehensive":[217],"reporting":[218],"practices":[219],"assessment.":[223]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2025-03-28T00:00:00"}
