{"id":"https://openalex.org/W3036823644","doi":"https://doi.org/10.1002/sim.8590","title":"On shared gamma\u2010frailty conditional Markov model for semicompeting risks data","display_name":"On shared gamma\u2010frailty conditional Markov model for semicompeting risks data","publication_year":2020,"publication_date":"2020-06-21","ids":{"openalex":"https://openalex.org/W3036823644","doi":"https://doi.org/10.1002/sim.8590","mag":"3036823644","pmid":"https://pubmed.ncbi.nlm.nih.gov/32567141"},"language":"en","primary_location":{"id":"doi:10.1002/sim.8590","doi":"https://doi.org/10.1002/sim.8590","is_oa":false,"landing_page_url":"https://doi.org/10.1002/sim.8590","pdf_url":null,"source":{"id":"https://openalex.org/S55189604","display_name":"Statistics in Medicine","issn_l":"0277-6715","issn":["0277-6715","1097-0258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics in Medicine","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"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/A5100367184","display_name":"Jing Li","orcid":"https://orcid.org/0000-0002-0703-4268","observed_orcids":["https://orcid.org/0000-0002-0703-4268"]},"institutions":[{"id":"https://openalex.org/I4388446366","display_name":"Indiana University Indianapolis","ror":"https://ror.org/03eftgw80","country_code":"US","type":"education","lineage":["https://openalex.org/I4388446366","https://openalex.org/I592451"]},{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Li","raw_affiliation_strings":["Department of Biostatistics, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA","institution_ids":["https://openalex.org/I4388446366","https://openalex.org/I592451"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386090","display_name":"Ying Zhang","orcid":"https://orcid.org/0000-0002-9680-8981","observed_orcids":["https://orcid.org/0000-0002-9680-8981","https://orcid.org/0000-0002-1965-7040","https://orcid.org/0000-0001-6214-2440"]},"institutions":[{"id":"https://openalex.org/I59130452","display_name":"University of Nebraska Medical Center","ror":"https://ror.org/00thqtb16","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I59130452"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ying Zhang","raw_affiliation_strings":["Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska, USA"],"raw_orcid":"https://orcid.org/0000-0002-9680-8981","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, College of Public Health, University of Nebraska Medical Center, Omaha, Nebraska, USA","institution_ids":["https://openalex.org/I59130452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074657565","display_name":"Giorgos Bakoyannis","orcid":"https://orcid.org/0000-0002-2789-2497","observed_orcids":["https://orcid.org/0000-0002-2789-2497"]},"institutions":[{"id":"https://openalex.org/I4388446366","display_name":"Indiana University Indianapolis","ror":"https://ror.org/03eftgw80","country_code":"US","type":"education","lineage":["https://openalex.org/I4388446366","https://openalex.org/I592451"]},{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Giorgos Bakoyannis","raw_affiliation_strings":["Department of Biostatistics, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA"],"raw_orcid":"https://orcid.org/0000-0002-2789-2497","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA","institution_ids":["https://openalex.org/I4388446366","https://openalex.org/I592451"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039635718","display_name":"Sujuan Gao","orcid":"https://orcid.org/0000-0002-6741-6380","observed_orcids":["https://orcid.org/0000-0002-6741-6380","https://orcid.org/0000-0002-8807-9248"]},"institutions":[{"id":"https://openalex.org/I4388446366","display_name":"Indiana University Indianapolis","ror":"https://ror.org/03eftgw80","country_code":"US","type":"education","lineage":["https://openalex.org/I4388446366","https://openalex.org/I592451"]},{"id":"https://openalex.org/I592451","display_name":"Indiana University","ror":"https://ror.org/01kg8sb98","country_code":"US","type":"education","lineage":["https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sujuan Gao","raw_affiliation_strings":["Department of Biostatistics, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Indiana University Richard M. Fairbanks School of Public Health, Indianapolis, Indiana, USA","institution_ids":["https://openalex.org/I4388446366","https://openalex.org/I592451"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100386090"],"corresponding_institution_ids":["https://openalex.org/I59130452"],"apc_list":{"value":4500,"currency":"USD","value_usd":4500},"apc_paid":null,"fwci":0.1626,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49761202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":"39","issue":"23","first_page":"3042","last_page":"3058"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.6269999742507935,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.6269999742507935,"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/T10136","display_name":"Statistical Methods and Inference","score":0.09950000047683716,"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":0.09139999747276306,"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/gamma-frailty","display_name":"gamma frailty","score":0.5609999895095825},{"id":"https://openalex.org/keywords/competing-risks","display_name":"competing risks","score":0.6399999856948853},{"id":"https://openalex.org/keywords/score-test","display_name":"score test","score":0.7850000262260437},{"id":"https://openalex.org/keywords/proportional-hazards-assumption","display_name":"proportional hazards assumption","score":0.7919999957084656},{"id":"https://openalex.org/keywords/dementia","display_name":"dementia","score":0.41499999165534973},{"id":"https://openalex.org/keywords/mortality-risk","display_name":"mortality risk","score":0.9100000262260437}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5823917388916016},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5001609325408936},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.48263224959373474},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.4574112594127655},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.447925329208374},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.42653828859329224},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.4130301773548126},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4011770486831665},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3170241117477417},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000073496","descriptor_name":"Frailty","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009549","descriptor_name":"Nigeria","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1002/sim.8590","doi":"https://doi.org/10.1002/sim.8590","is_oa":false,"landing_page_url":"https://doi.org/10.1002/sim.8590","pdf_url":null,"source":{"id":"https://openalex.org/S55189604","display_name":"Statistics in Medicine","issn_l":"0277-6715","issn":["0277-6715","1097-0258"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics in Medicine","raw_type":"journal-article"},{"id":"pmid:32567141","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32567141","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,"listed_in":[],"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":"Statistics in medicine","raw_type":"Journal Article"},{"id":"pmh:oai:scholarworks.indianapolis.iu.edu:1805/27188","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/1805/27188","pdf_url":null,"source":{"id":"https://openalex.org/S4306400987","display_name":"IUScholarWorks (Indiana University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I592451","host_organization_name":"Indiana University","host_organization_lineage":["https://openalex.org/I592451"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Publisher","raw_type":"Article"},{"id":"pmh:oai:scholarworks.iupui.edu:1805/27188","doi":null,"is_oa":false,"landing_page_url":"https://hdl.handle.net/1805/27188","pdf_url":null,"source":{"id":"https://openalex.org/S4306402593","display_name":"Purdue University Indianapolis (Indiana University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I592451","host_organization_name":"Indiana University","host_organization_lineage":["https://openalex.org/I592451"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Publisher","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W194734945","https://openalex.org/W601918450","https://openalex.org/W619721244","https://openalex.org/W622863680","https://openalex.org/W832916291","https://openalex.org/W1484801239","https://openalex.org/W1489904087","https://openalex.org/W1556794339","https://openalex.org/W1592607822","https://openalex.org/W1877275942","https://openalex.org/W1973545544","https://openalex.org/W1981911655","https://openalex.org/W1985867206","https://openalex.org/W1987868755","https://openalex.org/W1991709594","https://openalex.org/W1998509978","https://openalex.org/W2000257441","https://openalex.org/W2001021594","https://openalex.org/W2030673325","https://openalex.org/W2039690163","https://openalex.org/W2046506586","https://openalex.org/W2047508756","https://openalex.org/W2069279489","https://openalex.org/W2074954679","https://openalex.org/W2077920032","https://openalex.org/W2086482505","https://openalex.org/W2088229392","https://openalex.org/W2089810367","https://openalex.org/W2107467271","https://openalex.org/W2119436275","https://openalex.org/W2122832642","https://openalex.org/W2122932892","https://openalex.org/W2123055262","https://openalex.org/W2138375704","https://openalex.org/W2144141642","https://openalex.org/W2150272490","https://openalex.org/W2157840043","https://openalex.org/W2169311487","https://openalex.org/W2260714338","https://openalex.org/W2521522960","https://openalex.org/W2537272447","https://openalex.org/W2546662871","https://openalex.org/W2600435120","https://openalex.org/W2607366116","https://openalex.org/W2751291963","https://openalex.org/W2794228672","https://openalex.org/W2884765514","https://openalex.org/W4241571656","https://openalex.org/W4302446797","https://openalex.org/W6921205601","https://openalex.org/W7000741264"],"related_works":["https://openalex.org/W3036688091","https://openalex.org/W4406781529","https://openalex.org/W3120484762","https://openalex.org/W4303981360","https://openalex.org/W2074954679","https://openalex.org/W2587412284","https://openalex.org/W2069279489","https://openalex.org/W7066412905","https://openalex.org/W2515773192","https://openalex.org/W2912940393"],"abstract_inverted_index":{"Semicompeting":[0],"risks":[1,8,49],"data":[2,9,17,50,111,177],"are":[3,56],"a":[4,20,28,98,115,133,139,160],"mixture":[5],"of":[6,16,52,59,108],"competing":[7],"and":[10,64,137],"progressive":[11],"state":[12],"data.":[13],"This":[14,168],"type":[15],"occurs":[18],"when":[19],"nonterminal":[21],"event":[22],"is":[23,130],"subject":[24],"to":[25,46,118,142,172,181],"truncation":[26],"by":[27],"well-defined":[29],"terminal":[30],"event,":[31],"but":[32],"not":[33,126],"vice":[34],"versa.":[35],"The":[36],"shared":[37],"gamma-frailty":[38],"conditional":[39],"Markov":[40],"model":[41,87,147],"(GFCMM)":[42],"has":[43,72],"been":[44,73],"used":[45],"analyze":[47],"semicompeting":[48,109],"because":[51],"its":[53],"flexibility.":[54],"There":[55],"two":[57],"versions":[58],"this":[60,94],"model:":[61],"the":[62,65,76,85,103,106,121,145,157,165,173],"restricted":[63,122,166],"unrestricted":[66,86,146],"model.":[67,167],"Maximum":[68],"likelihood":[69],"estimation":[70,128,150],"methodology":[71],"proposed":[74],"in":[75,105],"literature.":[77],"However,":[78],"we":[79,96],"found":[80],"through":[81],"numerical":[82],"experiments":[83],"that":[84,112],"sometimes":[88],"yields":[89,148],"nonparametrically":[90],"biased":[91],"estimation.":[92],"In":[93],"article,":[95],"provide":[97],"practical":[99],"guideline":[100,169],"for":[101,154],"using":[102],"GFCMM":[104],"analysis":[107],"risk":[110],"includes:":[113],"(a)":[114],"score":[116],"test":[117,158],"assess":[119],"if":[120],"model,":[123],"which":[124],"does":[125],"exhibit":[127],"problems,":[129],"reasonable":[131],"under":[132],"proportional":[134],"hazards":[135],"assumption,":[136],"(b)":[138],"graphical":[140],"illustration":[141,180],"justify":[143],"whether":[144],"nonparametric":[149],"with":[151],"substantial":[152],"bias":[153],"cases":[155],"where":[156],"provides":[159],"statistical":[161],"significant":[162],"result":[163],"against":[164],"was":[170],"applied":[171],"Indianapolis-Ibadan":[174],"Dementia":[175],"Project":[176],"as":[178],"an":[179],"explore":[182],"how":[183],"dementia":[184],"occurrence":[185],"changes":[186],"mortality":[187],"risk.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2020-06-25T00:00:00"}
