{"id":"https://openalex.org/W3150076476","doi":"https://doi.org/10.1080/03610918.2021.1901916","title":"Sample size determination for a Bayesian cost-effectiveness model with structural zero costs","display_name":"Sample size determination for a Bayesian cost-effectiveness model with structural zero costs","publication_year":2021,"publication_date":"2021-04-05","ids":{"openalex":"https://openalex.org/W3150076476","doi":"https://doi.org/10.1080/03610918.2021.1901916","mag":"3150076476"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2021.1901916","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2021.1901916","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5083630645","display_name":"Clay King","orcid":null},"institutions":[{"id":"https://openalex.org/I1354457","display_name":"Colorado Mesa University","ror":"https://ror.org/0451s5g67","country_code":"US","type":"education","lineage":["https://openalex.org/I1354457"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Clay King","raw_affiliation_strings":["Department of Mathematics and Statistics, Colorado Mesa University, Grand Junction, CO, USA"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Colorado Mesa University, Grand Junction, CO, USA","institution_ids":["https://openalex.org/I1354457"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072226527","display_name":"James D. Stamey","orcid":"https://orcid.org/0000-0002-3787-6490"},"institutions":[{"id":"https://openalex.org/I157394403","display_name":"Baylor University","ror":"https://ror.org/005781934","country_code":"US","type":"education","lineage":["https://openalex.org/I157394403"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"James D. Stamey","raw_affiliation_strings":["Department of Statistics, Baylor University, Waco, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Baylor University, Waco, TX, USA","institution_ids":["https://openalex.org/I157394403"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5083630645"],"corresponding_institution_ids":["https://openalex.org/I1354457"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0507858,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"52","issue":"5","first_page":"2241","last_page":"2256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9983999729156494,"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/T10841","display_name":"Economic and Environmental Valuation","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.7797667980194092},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6624228954315186},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6164921522140503},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5867422819137573},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.4954646825790405},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4404904246330261},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4239242374897003},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3593415319919586},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.33901745080947876},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2657574415206909},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.197260320186615}],"concepts":[{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.7797667980194092},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6624228954315186},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6164921522140503},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5867422819137573},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.4954646825790405},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4404904246330261},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4239242374897003},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3593415319919586},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.33901745080947876},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2657574415206909},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.197260320186615},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2021.1901916","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2021.1901916","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W68436435","https://openalex.org/W1964522519","https://openalex.org/W1965959053","https://openalex.org/W1986060112","https://openalex.org/W1987378502","https://openalex.org/W2008816054","https://openalex.org/W2009678605","https://openalex.org/W2013667457","https://openalex.org/W2027198508","https://openalex.org/W2030818595","https://openalex.org/W2033743210","https://openalex.org/W2041616439","https://openalex.org/W2058056848","https://openalex.org/W2060319640","https://openalex.org/W2064388736","https://openalex.org/W2081236418","https://openalex.org/W2118202937","https://openalex.org/W2123693002","https://openalex.org/W2144908511","https://openalex.org/W2145113577","https://openalex.org/W2149190289","https://openalex.org/W2283157683","https://openalex.org/W2587870085","https://openalex.org/W2781602543","https://openalex.org/W2963953087"],"related_works":["https://openalex.org/W2290081135","https://openalex.org/W2172032168","https://openalex.org/W3022782703","https://openalex.org/W1771779360","https://openalex.org/W871906761","https://openalex.org/W56086665","https://openalex.org/W2119095362","https://openalex.org/W3210933308","https://openalex.org/W1604259489","https://openalex.org/W2131347664"],"abstract_inverted_index":{"The":[0],"idea":[1],"that":[2],"medical":[3],"treatment":[4],"costs":[5,88],"and":[6,24,44,62],"outcomes":[7],"might":[8],"be":[9],"connected":[10],"is":[11],"not":[12],"new.":[13],"Likewise,":[14],"as":[15,17],"long":[16],"researchers":[18,51],"have":[19],"been":[20,30],"designing":[21],"clinical":[22],"trials":[23],"public":[25],"opinion":[26],"polls,":[27],"there":[28],"has":[29],"interest":[31,72],"in":[32,123],"the":[33,48,74],"sample":[34,65,96],"size":[35,66,97],"necessary":[36],"to":[37,53,105],"obtain":[38],"a":[39,81,95,101,107],"desired":[40],"level":[41],"of":[42,59,84],"precision":[43],"certainty":[45],"before":[46],"collecting":[47],"data.":[49],"However,":[50],"continue":[52],"adapt":[54],"cost-effectiveness":[55,102],"models":[56],"for":[57,73,100],"scenarios":[58],"ever-increasing":[60],"complexity,":[61],"equally":[63],"adaptable":[64],"determination":[67,98],"schemes":[68],"are":[69,77],"required.":[70],"Of":[71],"current":[75],"study":[76],"those":[78],"instances":[79],"wherein":[80],"non-trivial":[82],"proportion":[83],"patients":[85],"incur":[86],"zero":[87],"associated":[89],"with":[90],"their":[91],"treatment.":[92],"We":[93],"propose":[94],"scheme":[99],"model":[103],"fit":[104],"such":[106],"scenario.":[108],"Furthermore,":[109],"we":[110],"display":[111],"our":[112],"method\u2019s":[113],"usefulness":[114],"on":[115],"multiple":[116],"parameter":[117],"configurations":[118],"derived":[119],"from":[120],"applications":[121],"presented":[122],"already":[124],"published":[125],"research.":[126]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
