{"id":"https://openalex.org/W2066068143","doi":"https://doi.org/10.1007/s001800000038","title":"Posterior predictive checks: Principles and discussion","display_name":"Posterior predictive checks: Principles and discussion","publication_year":2000,"publication_date":"2000-09-01","ids":{"openalex":"https://openalex.org/W2066068143","doi":"https://doi.org/10.1007/s001800000038","mag":"2066068143"},"language":"en","primary_location":{"id":"doi:10.1007/s001800000038","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s001800000038","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"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/A5010117898","display_name":"Johannes Berkhof","orcid":"https://orcid.org/0000-0003-2094-2380"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Johannes Berkhof","raw_affiliation_strings":["Department of Psychology, University of Leuven, Tiensestraat 102, B-3000, Leuven, Belgium","Department of Psychology, University of Leuven, Leuven, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Leuven, Tiensestraat 102, B-3000, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":"Department of Psychology, University of Leuven, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075472502","display_name":"Iven Van Mechelen","orcid":"https://orcid.org/0000-0002-9917-8540"},"institutions":[{"id":"https://openalex.org/I99464096","display_name":"KU Leuven","ror":"https://ror.org/05f950310","country_code":"BE","type":"education","lineage":["https://openalex.org/I99464096"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Iven van Mechelen","raw_affiliation_strings":["Department of Psychology, University of Leuven, Tiensestraat 102, B-3000, Leuven, Belgium",", KU Leuven"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Psychology, University of Leuven, Tiensestraat 102, B-3000, Leuven, Belgium","institution_ids":["https://openalex.org/I99464096"]},{"raw_affiliation_string":", KU Leuven","institution_ids":["https://openalex.org/I99464096"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081858769","display_name":"Herbert Hoijtink","orcid":"https://orcid.org/0000-0001-8509-1973"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Herbert Hoijtink","raw_affiliation_strings":["Department of Methodology and Statistics, Utrecht University, P.O.Box 80140, 3508 TC, Utrecht, The Netherlands","Utrecht university >  >  >  >"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Methodology and Statistics, Utrecht University, P.O.Box 80140, 3508 TC, Utrecht, The Netherlands","institution_ids":["https://openalex.org/I193662353"]},{"raw_affiliation_string":"Utrecht university >  >  >  >","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2490,"currency":"EUR","value_usd":3090},"apc_paid":null,"fwci":0.4152,"has_fulltext":false,"cited_by_count":54,"citation_normalized_percentile":{"value":0.66279237,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"15","issue":"3","first_page":"337","last_page":"354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9878000020980835,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9878000020980835,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9853000044822693,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9786999821662903,"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/interpretability","display_name":"Interpretability","score":0.9145616292953491},{"id":"https://openalex.org/keywords/predictive-value","display_name":"Predictive value","score":0.7423834204673767},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.5787876844406128},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5419370532035828},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.43045246601104736},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3857872486114502},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3626493215560913},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.26804983615875244},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12727215886116028},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.07794088125228882},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.061895132064819336}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.9145616292953491},{"id":"https://openalex.org/C3019719930","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value","level":2,"score":0.7423834204673767},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.5787876844406128},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5419370532035828},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.43045246601104736},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3857872486114502},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3626493215560913},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.26804983615875244},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12727215886116028},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.07794088125228882},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.061895132064819336},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s001800000038","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s001800000038","pdf_url":null,"source":{"id":"https://openalex.org/S8500805","display_name":"Computational Statistics","issn_l":"0943-4062","issn":["0943-4062","1613-9658"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics","raw_type":"journal-article"},{"id":"pmh:oai:pure.amsterdamumc.nl:publications/c1dd478b-aa63-41de-b188-d2aa061e816d","is_oa":false,"landing_page_url":"https://pure.amsterdamumc.nl/en/publications/c1dd478b-aa63-41de-b188-d2aa061e816d","pdf_url":null,"source":{"id":"https://openalex.org/S7407055222","display_name":"Pure Amsterdam UMC","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Berkhof, J, Van Mechelen, I & Hoijtink, H 2000, 'Posterior predictive checks : Principles and discussion', Computational Statistics, vol. 15, no. 3, pp. 337-354. https://doi.org/10.1007/s001800000038","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/5e46173c-0cfd-4a89-96fa-1ca660a017ad","is_oa":false,"landing_page_url":"https://research.vumc.nl/en/publications/5e46173c-0cfd-4a89-96fa-1ca660a017ad","pdf_url":null,"source":{"id":"https://openalex.org/S7407055350","display_name":"Amsterdam UMC (VU Amsterdam) - Institutional Repository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Berkhof, J, Van Mechelen, I & Hoijtink, H 2000, 'Posterior predictive checks : Principles and discussion', Computational Statistics, vol. 15, no. 3, pp. 337-354. https://doi.org/10.1007/s001800000038","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1494853941","https://openalex.org/W1526262927","https://openalex.org/W1922851081","https://openalex.org/W1967485420","https://openalex.org/W1990611835","https://openalex.org/W1993725118","https://openalex.org/W2005587766","https://openalex.org/W2040011853","https://openalex.org/W2045656233","https://openalex.org/W2060088199","https://openalex.org/W2109047492","https://openalex.org/W2128775770","https://openalex.org/W2168934042","https://openalex.org/W2319041464","https://openalex.org/W2327117606","https://openalex.org/W2614237344","https://openalex.org/W2797545377","https://openalex.org/W2801840425","https://openalex.org/W4211177544","https://openalex.org/W4229926969","https://openalex.org/W4243759473","https://openalex.org/W4247690662","https://openalex.org/W6629853974"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W1531601525","https://openalex.org/W2905433371","https://openalex.org/W1986582023","https://openalex.org/W2883749686","https://openalex.org/W4315864862"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}