{"id":"https://openalex.org/W396453839","doi":null,"title":"Bayesian Decision Theory and its Applications in Early Phase Clinical Trails","display_name":"Bayesian Decision Theory and its Applications in Early Phase Clinical Trails","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W396453839","mag":"396453839"},"language":"en","primary_location":{"id":"mag:396453839","doi":null,"is_oa":false,"landing_page_url":"https://centaur.reading.ac.uk/9431/","pdf_url":null,"source":{"id":"https://openalex.org/S2765055855","display_name":"Journal of Suzhou Institute of Silk Textile Technology","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Suzhou Institute of Silk Textile Technology","raw_type":null},"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/A5060257641","display_name":"Yinghui Zhou","orcid":"https://orcid.org/0000-0001-5959-2627","observed_orcids":["https://orcid.org/0000-0001-5959-2627"]},"institutions":[{"id":"https://openalex.org/I71052956","display_name":"University of Reading","ror":"https://ror.org/05v62cm79","country_code":"GB","type":"education","lineage":["https://openalex.org/I71052956"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yinghui Zhou","raw_affiliation_strings":["Medical and Pharmaceutical Statistics Research Unit, The University of Reading, UK"],"raw_orcid":"https://orcid.org/0000-0001-5959-2627","affiliations":[{"raw_affiliation_string":"Medical and Pharmaceutical Statistics Research Unit, The University of Reading, UK","institution_ids":["https://openalex.org/I71052956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5060257641"],"corresponding_institution_ids":["https://openalex.org/I71052956"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04766983,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"2","first_page":"23","last_page":"26"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9937000274658203,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9937000274658203,"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":0.00559999980032444,"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/T13500","display_name":"Probability and Statistical Research","score":9.999999747378752e-05,"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-decision-theory","display_name":"Bayesian decision theory","score":0.9440000057220459},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.996999979019165},{"id":"https://openalex.org/keywords/clinical-trial-design","display_name":"clinical trial design","score":0.8389999866485596},{"id":"https://openalex.org/keywords/clinical-expertise","display_name":"clinical expertise","score":0.6240000128746033},{"id":"https://openalex.org/keywords/data-driven-decision-making","display_name":"data-driven decision making","score":0.6159999966621399}],"concepts":[{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.8743024468421936},{"id":"https://openalex.org/C28901747","wikidata":"https://www.wikidata.org/wiki/Q177571","display_name":"Decision theory","level":2,"score":0.5698666572570801},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5693191289901733},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.5617011189460754},{"id":"https://openalex.org/C68022304","wikidata":"https://www.wikidata.org/wiki/Q842217","display_name":"Bayes estimator","level":3,"score":0.512545108795166},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44477367401123047},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.43035635352134705},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4270364046096802},{"id":"https://openalex.org/C2989179672","wikidata":"https://www.wikidata.org/wiki/Q6806500","display_name":"Clinical decision making","level":2,"score":0.423765629529953},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35109227895736694},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35081008076667786},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.32986125349998474},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2191910743713379},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21079739928245544},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.18603065609931946},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.11000904440879822},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","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}],"mesh":[],"locations_count":2,"locations":[{"id":"mag:396453839","doi":null,"is_oa":false,"landing_page_url":"https://centaur.reading.ac.uk/9431/","pdf_url":null,"source":{"id":"https://openalex.org/S2765055855","display_name":"Journal of Suzhou Institute of Silk Textile Technology","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Suzhou Institute of Silk Textile Technology","raw_type":null},{"id":"mag:915189566","doi":null,"is_oa":false,"landing_page_url":"http://www.cqvip.com/QK/97050A/200402/9888365.html","pdf_url":null,"source":{"id":"https://openalex.org/S4306557630","display_name":"\u82cf\u5dde\u5927\u5b66\u5b66\u62a5\uff1a\u5de5\u79d1\u7248","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"\u82cf\u5dde\u5927\u5b66\u5b66\u62a5\uff1a\u5de5\u79d1\u7248","raw_type":null}],"best_oa_location":null,"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/W7036439255","https://openalex.org/W2415444878","https://openalex.org/W2419603353","https://openalex.org/W2953008738","https://openalex.org/W2809772747","https://openalex.org/W7217408081","https://openalex.org/W1987860773","https://openalex.org/W2046141824","https://openalex.org/W2412799068","https://openalex.org/W2398740274"],"abstract_inverted_index":{"Bayes'":[0,55],"theorem":[1],"is":[2,33],"named":[3],"after":[4],"the":[5,11,14,31],"Reverend":[6],"Thomas":[7],"Bayes":[8],"who":[9],"proposed":[10],"idea":[12],"in":[13,49,62],"18th":[15],"century":[16],"~":[17],".":[18],"It":[19],"has":[20],"been":[21],"adapted":[22],"by":[23,40,46],"scientists":[24],"for":[25],"many":[26],"different":[27],"applications.":[28],"One":[29],"of":[30],"applications":[32,61],"clinical":[34,41,63],"trials,":[35],"where":[36],"decisions":[37],"are":[38],"guided":[39],"expertise":[42],"as":[43,45],"well":[44],"data,":[47],"especially":[48],"early":[50],"phases.":[51],"This":[52],"paper":[53],"reviews":[54],"theorem,":[56],"decision":[57],"theory":[58],"and":[59],"their":[60],"trials.":[64]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}