{"id":"https://openalex.org/W2185707616","doi":null,"title":"THE STRENGTH OF EVIDENCE VERSUS THE POWER OF BELIEF: ARE WE ALL BAYESIANS?","display_name":"THE STRENGTH OF EVIDENCE VERSUS THE POWER OF BELIEF: ARE WE ALL BAYESIANS?","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2185707616","mag":"2185707616"},"language":"en","primary_location":{"id":"pmh:oai:CiteSeerX.psu:10.1.1.205.471","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stat.auckland.ac.nz/%7Eiase/publications/icots8/ICOTS8_PL2_UTTS.pdf","raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039357092","display_name":"Jessica M. Utts","orcid":"https://orcid.org/0000-0002-4248-3878","observed_orcids":["https://orcid.org/0000-0002-4248-3878"]},"institutions":[{"id":"https://openalex.org/I204250578","display_name":"University of California, Irvine","ror":"https://ror.org/04gyf1771","country_code":"US","type":"education","lineage":["https://openalex.org/I204250578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jessica Utts","raw_affiliation_strings":["University of California, Irvine **"],"raw_orcid":"https://orcid.org/0000-0002-4248-3878","affiliations":[{"raw_affiliation_string":"University of California, Irvine **","institution_ids":["https://openalex.org/I204250578"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Michelle Norris","orcid":"https://orcid.org/0000-0001-6109-2103","observed_orcids":["https://orcid.org/0000-0001-6109-2103"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Michelle Norris","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0001-6109-2103","affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073338178","display_name":"Eric A. Suess","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eric A. Suess","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5037120793","display_name":"Wesley O. Johnson","orcid":"https://orcid.org/0000-0002-5420-7141","observed_orcids":["https://orcid.org/0000-0002-5420-7141"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wesley O. Johnson","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-5420-7141","affiliations":[]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0314,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.81936491,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9110999703407288,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9110999703407288,"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/T12448","display_name":"Paranormal Experiences and Beliefs","score":0.03779999911785126,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13500","display_name":"Probability and Statistical Research","score":0.016599999740719795,"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/bayesian-analysis","display_name":"Bayesian analysis","score":0.6859999895095825},{"id":"https://openalex.org/keywords/prior-beliefs","display_name":"prior beliefs","score":0.8289999961853027},{"id":"https://openalex.org/keywords/expert-knowledge","display_name":"expert knowledge","score":0.8989999890327454},{"id":"https://openalex.org/keywords/extrasensory-perception","display_name":"extrasensory perception","score":0.9459999799728394},{"id":"https://openalex.org/keywords/hypothesis-testing","display_name":"hypothesis testing","score":0.8090000152587891},{"id":"https://openalex.org/keywords/bayesian-vs-frequentist-comparison","display_name":"frequentist vs Bayesian comparison","score":0.7170000076293945},{"id":"https://openalex.org/keywords/binomial-data","display_name":"binomial data","score":0.7599999904632568},{"id":"https://openalex.org/keywords/null-hypothesis","display_name":"null hypothesis","score":0.8330000042915344}],"concepts":[{"id":"https://openalex.org/C162376815","wikidata":"https://www.wikidata.org/wiki/Q2158281","display_name":"Frequentist inference","level":4,"score":0.8386231660842896},{"id":"https://openalex.org/C78875605","wikidata":"https://www.wikidata.org/wiki/Q790024","display_name":"Extrasensory perception","level":3,"score":0.7090915441513062},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6262786388397217},{"id":"https://openalex.org/C101112237","wikidata":"https://www.wikidata.org/wiki/Q4874481","display_name":"Bayesian statistics","level":4,"score":0.5032126307487488},{"id":"https://openalex.org/C191988596","wikidata":"https://www.wikidata.org/wiki/Q628374","display_name":"Null hypothesis","level":2,"score":0.4866221845149994},{"id":"https://openalex.org/C142291917","wikidata":"https://www.wikidata.org/wiki/Q4165283","display_name":"Bayes factor","level":4,"score":0.4827560782432556},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.4808693528175354},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.469127893447876},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4517960548400879},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38943201303482056},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3598824739456177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35955432057380676},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.33784219622612},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3257232904434204},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27240467071533203},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2549596130847931},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:CiteSeerX.psu:10.1.1.205.471","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.471","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.stat.auckland.ac.nz/%7Eiase/publications/icots8/ICOTS8_PL2_UTTS.pdf","raw_type":"text"},{"id":"mag:2185707616","doi":null,"is_oa":false,"landing_page_url":"http://iase-web.org/documents/papers/icots8/ICOTS8_PL2_UTTS.pdf","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W258356989","https://openalex.org/W1506323970","https://openalex.org/W1537228030","https://openalex.org/W1965459365","https://openalex.org/W2017529320","https://openalex.org/W2104146277","https://openalex.org/W2138759936","https://openalex.org/W2146134666"],"related_works":["https://openalex.org/W2155061836","https://openalex.org/W1976127669","https://openalex.org/W6887725285","https://openalex.org/W7095585418","https://openalex.org/W1861085603","https://openalex.org/W2491058620","https://openalex.org/W7095978024","https://openalex.org/W7098880273","https://openalex.org/W3044113243","https://openalex.org/W4253763813"],"abstract_inverted_index":{"Although":[0],"statisticians":[1],"have":[2,89,112],"the":[3,43,55,63,75,79,94,135],"job":[4],"of":[5,54,58,96,137,149],"making":[6],"conclusions":[7],"based":[8],"on":[9,42],"data,":[10],"for":[11,99,134],"many":[12],"questions":[13],"in":[14,93],"science":[15],"and":[16,22,68,110,157],"society":[17],"prior":[18,66],"beliefs":[19,67,84,128],"are":[20,36,85,108,119,152],"strong":[21],"may":[23,46],"take":[24],"precedence":[25],"over":[26],"data":[27,98,145],"when":[28],"people":[29],"make":[30],"decisions.":[31],"For":[32],"other":[33],"questions,":[34],"there":[35],"experts":[37],"who":[38],"could":[39],"shed":[40],"light":[41],"situation":[44],"that":[45,62],"not":[47],"be":[48,72],"captured":[49],"with":[50,78],"available":[51],"data.":[52,80],"One":[53,81],"appealing":[56],"aspects":[57],"Bayesian":[59,138,158],"statistics":[60],"is":[61,92],"methods":[64],"allow":[65],"expert":[69],"knowledge":[70],"to":[71,88,104,123],"incorporated":[73],"into":[74],"analysis":[76,139],"along":[77],"domain":[82],"where":[83],"almost":[86],"sure":[87],"a":[90,113],"role":[91],"evaluation":[95],"scientific":[97],"extrasensory":[100],"perception":[101],"(ESP).":[102],"Experiments":[103],"test":[105],"ESP":[106,150],"often":[107],"binomial,":[109],"they":[111,118],"clear":[114],"null":[115],"hypothesis,":[116],"so":[117],"an":[120,131],"excellent":[121,132],"way":[122],"illustrate":[124],"hypothesis":[125],"testing.":[126],"Incorporating":[127],"makes":[129],"them":[130],"example":[133],"use":[136],"as":[140],"well.":[141],"In":[142],"this":[143],"paper,":[144],"from":[146],"one":[147],"type":[148],"study":[151],"analyzed":[153],"using":[154],"both":[155],"frequentist":[156],"methods.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}