{"id":"https://openalex.org/W1493463701","doi":"https://doi.org/10.3233/mas-130263","title":"A Bayesian model for censored positive count data in evaluating breast cancer progression","display_name":"A Bayesian model for censored positive count data in evaluating breast cancer progression","publication_year":2013,"publication_date":"2013-05-15","ids":{"openalex":"https://openalex.org/W1493463701","doi":"https://doi.org/10.3233/mas-130263","mag":"1493463701","pmid":"https://pubmed.ncbi.nlm.nih.gov/23997758"},"language":"en","primary_location":{"id":"doi:10.3233/mas-130263","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-130263","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://doi.org/10.3233/MAS-130263","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5081458605","display_name":"Hung\u2010Wen Yeh","orcid":"https://orcid.org/0000-0002-9904-3275"},"institutions":[{"id":"https://openalex.org/I4210097601","display_name":"The University of Kansas Cancer Center","ror":"https://ror.org/00cj35179","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210097601"]},{"id":"https://openalex.org/I4210128618","display_name":"University of Kansas Medical Center","ror":"https://ror.org/036c9yv20","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210128618"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hung-Wen Yeh","raw_affiliation_strings":["Department of Biostatistics, The University of Kansas Medical Center, Kansas City, KS, USA","The University of Kansas Cancer Center, Kansas City, KS, USA","Department of Biostatistics, The University of Kansas Medical Center, Kansas City, Kansas 66160 ; The University of Kansas Cancer Center, Kansas City, Kansas 66160"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, The University of Kansas Medical Center, Kansas City, KS, USA","institution_ids":["https://openalex.org/I4210128618"]},{"raw_affiliation_string":"The University of Kansas Cancer Center, Kansas City, KS, USA","institution_ids":["https://openalex.org/I4210097601"]},{"raw_affiliation_string":"Department of Biostatistics, The University of Kansas Medical Center, Kansas City, Kansas 66160 ; The University of Kansas Cancer Center, Kansas City, Kansas 66160","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101924483","display_name":"Yu Jiang","orcid":"https://orcid.org/0000-0003-4551-9335"},"institutions":[{"id":"https://openalex.org/I4210128618","display_name":"University of Kansas Medical Center","ror":"https://ror.org/036c9yv20","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210128618"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Jiang","raw_affiliation_strings":["Department of Biostatistics, The University of Kansas Medical Center, Kansas City, KS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, The University of Kansas Medical Center, Kansas City, KS, USA","institution_ids":["https://openalex.org/I4210128618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027240453","display_name":"Lili Garrard","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128618","display_name":"University of Kansas Medical Center","ror":"https://ror.org/036c9yv20","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210128618"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lili Garrard","raw_affiliation_strings":["Department of Biostatistics, The University of Kansas Medical Center, Kansas City, KS, USA","School of Nursing, The University of Kansas Medical Center, Kansas City, KS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, The University of Kansas Medical Center, Kansas City, KS, USA","institution_ids":["https://openalex.org/I4210128618"]},{"raw_affiliation_string":"School of Nursing, The University of Kansas Medical Center, Kansas City, KS, USA","institution_ids":["https://openalex.org/I4210128618"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044861875","display_name":"Yang Lei","orcid":"https://orcid.org/0000-0001-8463-1165"},"institutions":[{"id":"https://openalex.org/I4210128618","display_name":"University of Kansas Medical Center","ror":"https://ror.org/036c9yv20","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210128618"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Lei","raw_affiliation_strings":["Department of Biostatistics, The University of Kansas Medical Center, Kansas City, KS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, The University of Kansas Medical Center, Kansas City, KS, USA","institution_ids":["https://openalex.org/I4210128618"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004067964","display_name":"Byron J. Gajewski","orcid":"https://orcid.org/0000-0001-7589-8247"},"institutions":[{"id":"https://openalex.org/I4210128618","display_name":"University of Kansas Medical Center","ror":"https://ror.org/036c9yv20","country_code":"US","type":"funder","lineage":["https://openalex.org/I4210128618"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Byron Gajewski","raw_affiliation_strings":["Department of Biostatistics, The University of Kansas Medical Center, Kansas City, KS, USA","School of Nursing, The University of Kansas Medical Center, Kansas City, KS, USA"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, The University of Kansas Medical Center, Kansas City, KS, USA","institution_ids":["https://openalex.org/I4210128618"]},{"raw_affiliation_string":"School of Nursing, The University of Kansas Medical Center, Kansas City, KS, USA","institution_ids":["https://openalex.org/I4210128618"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5081458605"],"corresponding_institution_ids":["https://openalex.org/I4210097601","https://openalex.org/I4210128618"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0264538,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"8","issue":"2","first_page":"143","last_page":"150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10556","display_name":"Global Cancer Incidence and Screening","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10556","display_name":"Global Cancer Incidence and Screening","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10552","display_name":"Colorectal Cancer Screening and Detection","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.98089998960495,"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/deviance-information-criterion","display_name":"Deviance information criterion","score":0.6717837452888489},{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.6064440608024597},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.5962150692939758},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.49631577730178833},{"id":"https://openalex.org/keywords/breast-cancer","display_name":"Breast cancer","score":0.4922138750553131},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.489341676235199},{"id":"https://openalex.org/keywords/oncology","display_name":"Oncology","score":0.3801327049732208},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3672875761985779},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.35869961977005005},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3233792781829834},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.315311074256897}],"concepts":[{"id":"https://openalex.org/C17634605","wikidata":"https://www.wikidata.org/wiki/Q972431","display_name":"Deviance information criterion","level":4,"score":0.6717837452888489},{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.6064440608024597},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.5962150692939758},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.49631577730178833},{"id":"https://openalex.org/C530470458","wikidata":"https://www.wikidata.org/wiki/Q128581","display_name":"Breast cancer","level":3,"score":0.4922138750553131},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.489341676235199},{"id":"https://openalex.org/C143998085","wikidata":"https://www.wikidata.org/wiki/Q162555","display_name":"Oncology","level":1,"score":0.3801327049732208},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3672875761985779},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.35869961977005005},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3233792781829834},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.315311074256897}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3233/mas-130263","is_oa":false,"landing_page_url":"https://doi.org/10.3233/mas-130263","pdf_url":null,"source":{"id":"https://openalex.org/S2765066696","display_name":"Model Assisted Statistics and Applications","issn_l":"1574-1699","issn":["1574-1699","1875-9068"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model Assisted Statistics and Applications","raw_type":"journal-article"},{"id":"pmid:23997758","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/23997758","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Model assisted statistics and applications : an international journal","raw_type":null},{"id":"pmh:oai:europepmc.org:3001899","is_oa":false,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3755497","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:3755497","is_oa":true,"landing_page_url":"http://doi.org/10.3233/MAS-130263","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:3755497","is_oa":true,"landing_page_url":"http://doi.org/10.3233/MAS-130263","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[{"score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320316438","display_name":"Georgia Clinical and Translational Science Alliance","ror":null},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320332312","display_name":"Institute for Clinical and Translational Research, University of Wisconsin, Madison","ror":null},{"id":"https://openalex.org/F4320337375","display_name":"National Center for Research Resources","ror":"https://ror.org/04pw6fb54"},{"id":"https://openalex.org/F4320337472","display_name":"National Center for Advancing Translational Sciences","ror":"https://ror.org/04pw6fb54"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W2030875488","https://openalex.org/W2043043077","https://openalex.org/W2045656233","https://openalex.org/W2074524943"],"related_works":["https://openalex.org/W2363656491","https://openalex.org/W4376988598","https://openalex.org/W4388007941","https://openalex.org/W2214473900","https://openalex.org/W2151689585","https://openalex.org/W2884149040","https://openalex.org/W2159198570","https://openalex.org/W2380816257","https://openalex.org/W3087071515","https://openalex.org/W2822810013"],"abstract_inverted_index":{"Basic":[0],"science":[1],"researchers":[2],"transplant":[3],"human":[4,29],"cancer":[5,59],"tissues":[6,30],"from":[7,53],"patients":[8],"with":[9,76,81,123,138],"ductal":[10],"carcinoma":[11],"<i>in":[12],"situ</i>":[13],"(DCIS)":[14],"to":[15,70,88,163],"animals":[16],"and":[17,38,91,101,109,135,168],"observe":[18],"the":[19,22,74,89,115,131,148,154,164,169,172],"progression":[20],"of":[21,28,57,64,85,114],"disease.":[23],"Successful":[24],"transplants":[25],"show":[26],"invasion":[27],"across":[31,142],"mammary":[32],"ducts":[33,66],"in":[34,42,175],"animal":[35],"fat":[36],"pads":[37],"cause":[39],"DCIS-like":[40],"lesions":[41],"one":[43],"or":[44],"more":[45],"ducts.":[46],"In":[47],"this":[48],"work,":[49],"we":[50,119],"consider":[51],"data":[52,75],"a":[54,121,139],"recent":[55],"publication":[56],"breast":[58],"research":[60],"where":[61],"positive":[62],"counts":[63],"affected":[65],"may":[67,96],"be":[68,98],"subject":[69],"censoring.":[71],"We":[72],"fit":[73,120],"zero-truncated":[77],"Poisson":[78],"(ZTP)":[79],"models":[80],"an":[82],"informative":[83],"prior":[84,156],"gamma.":[86],"Due":[87],"zero-truncation":[90],"right":[92],"censoring,":[93],"posterior":[94],"distributions":[95],"not":[97],"conventional":[99],"gamma":[100],"are":[102,145,161],"estimated":[103],"through":[104],"Markov":[105],"chain":[106],"Monte":[107],"Carlo":[108],"grid":[110],"approximation.":[111],"For":[112,153],"each":[113],"two":[116],"cell":[117,132,177],"lines,":[118],"model":[122,137,174],"group-specific":[124],"parameters":[125],"for":[126],"DCIS":[127],"subtypes":[128],"classified":[129],"by":[130,147],"surface":[133],"biomarkers,":[134],"another":[136],"homogeneous":[140],"parameter":[141,157],"groups.":[143],"Models":[144],"compared":[146],"Deviance":[149],"Information":[150],"Criterion":[151],"(DIC).":[152],"chosen":[155],"values,":[158],"Bayes":[159],"estimates":[160],"comparative":[162],"maximum":[165],"likelihood":[166],"estimates,":[167],"DIC":[170],"favors":[171],"simpler":[173],"both":[176],"lines.":[178]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
