{"id":"https://openalex.org/W4401813721","doi":"https://doi.org/10.1080/03610918.2024.2391874","title":"A study on comparisons of additive regression frailty models to counter heterogeneity: Bayesian strategies and case study","display_name":"A study on comparisons of additive regression frailty models to counter heterogeneity: Bayesian strategies and case study","publication_year":2024,"publication_date":"2024-08-23","ids":{"openalex":"https://openalex.org/W4401813721","doi":"https://doi.org/10.1080/03610918.2024.2391874"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2024.2391874","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2391874","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/A5090249078","display_name":"Shikhar Tyagi","orcid":"https://orcid.org/0000-0003-1606-0844"},"institutions":[{"id":"https://openalex.org/I48018076","display_name":"Christ University","ror":"https://ror.org/022tv9y30","country_code":"IN","type":"education","lineage":["https://openalex.org/I48018076"]},{"id":"https://openalex.org/I76777374","display_name":"Central University of Rajasthan","ror":"https://ror.org/056y7zx62","country_code":"IN","type":"education","lineage":["https://openalex.org/I76777374"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shikhar Tyagi","raw_affiliation_strings":["Department of Statistics and Data Science, Christ University","Department of Statistics, Central University of Rajasthan","Department of Statistics, Central University of Rajasthan, Rajasthan, India","Department of Statistics and Data Science, Christ University, Bengaluru, India"],"affiliations":[{"raw_affiliation_string":"Department of Statistics and Data Science, Christ University","institution_ids":["https://openalex.org/I48018076"]},{"raw_affiliation_string":"Department of Statistics, Central University of Rajasthan","institution_ids":["https://openalex.org/I76777374"]},{"raw_affiliation_string":"Department of Statistics, Central University of Rajasthan, Rajasthan, India","institution_ids":["https://openalex.org/I76777374"]},{"raw_affiliation_string":"Department of Statistics and Data Science, Christ University, Bengaluru, India","institution_ids":["https://openalex.org/I48018076"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024402257","display_name":"Arvind Pandey","orcid":"https://orcid.org/0000-0003-1324-6985"},"institutions":[{"id":"https://openalex.org/I76777374","display_name":"Central University of Rajasthan","ror":"https://ror.org/056y7zx62","country_code":"IN","type":"education","lineage":["https://openalex.org/I76777374"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arvind Pandey","raw_affiliation_strings":["Department of Statistics, Central University of Rajasthan","Department of Statistics, Central University of Rajasthan, Rajasthan, India"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Central University of Rajasthan","institution_ids":["https://openalex.org/I76777374"]},{"raw_affiliation_string":"Department of Statistics, Central University of Rajasthan, Rajasthan, India","institution_ids":["https://openalex.org/I76777374"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056238988","display_name":"David D. Hanagal","orcid":"https://orcid.org/0000-0002-8918-6934"},"institutions":[{"id":"https://openalex.org/I878213199","display_name":"Savitribai Phule Pune University","ror":"https://ror.org/044g6d731","country_code":"IN","type":"education","lineage":["https://openalex.org/I878213199"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"David D. Hanagal","raw_affiliation_strings":["Department of Statistics, Savitribai Phule Pune University","Department of Statistics, Savitribai Phule Pune University, Pune, India"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Savitribai Phule Pune University","institution_ids":["https://openalex.org/I878213199"]},{"raw_affiliation_string":"Department of Statistics, Savitribai Phule Pune University, Pune, India","institution_ids":["https://openalex.org/I878213199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083045521","display_name":"Christophe Chesneau","orcid":"https://orcid.org/0000-0002-1522-9292"},"institutions":[{"id":"https://openalex.org/I4210105918","display_name":"Normandie Universit\u00e9","ror":"https://ror.org/01k40cz91","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918"]},{"id":"https://openalex.org/I98702875","display_name":"Universit\u00e9 de Caen Normandie","ror":"https://ror.org/051kpcy16","country_code":"FR","type":"education","lineage":["https://openalex.org/I4210105918","https://openalex.org/I98702875"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Christophe Chesneau","raw_affiliation_strings":["Department of Mathematics, University of Caen-Normandy","Department of Mathematics, University of Caen-Normandy, Caen, France"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, University of Caen-Normandy","institution_ids":["https://openalex.org/I98702875","https://openalex.org/I4210105918"]},{"raw_affiliation_string":"Department of Mathematics, University of Caen-Normandy, Caen, France","institution_ids":["https://openalex.org/I98702875"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083045521"],"corresponding_institution_ids":["https://openalex.org/I4210105918","https://openalex.org/I98702875"],"apc_list":null,"apc_paid":null,"fwci":0.7138,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.73028656,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"54","issue":"11","first_page":"4690","last_page":"4711"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","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/T10136","display_name":"Statistical Methods and Inference","score":0.9933000206947327,"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/T11720","display_name":"Probability and Risk Models","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6907942295074463},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.6149876117706299},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5561462640762329},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5300944447517395},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.49633389711380005},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3918035626411438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.28449776768684387}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6907942295074463},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.6149876117706299},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5561462640762329},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5300944447517395},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.49633389711380005},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3918035626411438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.28449776768684387}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2024.2391874","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2391874","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":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W566387936","https://openalex.org/W1593493925","https://openalex.org/W1727252581","https://openalex.org/W1902827440","https://openalex.org/W1966109026","https://openalex.org/W1967414282","https://openalex.org/W1974875715","https://openalex.org/W1987067784","https://openalex.org/W1992997967","https://openalex.org/W1993042665","https://openalex.org/W2013885224","https://openalex.org/W2016408977","https://openalex.org/W2037234972","https://openalex.org/W2049478031","https://openalex.org/W2051316645","https://openalex.org/W2052464909","https://openalex.org/W2054957279","https://openalex.org/W2080215129","https://openalex.org/W2080379180","https://openalex.org/W2084568079","https://openalex.org/W2089583587","https://openalex.org/W2090877251","https://openalex.org/W2102176311","https://openalex.org/W2130388500","https://openalex.org/W2319044604","https://openalex.org/W2516027458","https://openalex.org/W2554682182","https://openalex.org/W2899436269","https://openalex.org/W2904579171","https://openalex.org/W3116343653","https://openalex.org/W3136807200","https://openalex.org/W3147894994","https://openalex.org/W3201950727","https://openalex.org/W3205244804","https://openalex.org/W4212848462","https://openalex.org/W4224261502","https://openalex.org/W4225927930","https://openalex.org/W4230155399","https://openalex.org/W4288948322","https://openalex.org/W4293738259","https://openalex.org/W4395005409"],"related_works":["https://openalex.org/W4381136829","https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"Historically,":[0],"the":[1,13,20,46,63,69,79,87,96,112,116,131,147,154],"primary":[2],"goal":[3],"of":[4,15,48,78,98,118,140],"conventional":[5],"survival":[6],"study":[7],"methods":[8],"has":[9],"been":[10],"to":[11,107,129],"reduce":[12],"frequency":[14],"failures":[16],"over":[17],"time.":[18],"If":[19],"associated":[21],"observed":[22],"and":[23,81,157],"unobserved":[24],"variables":[25,50],"are":[26,90,104,126,135],"not":[27],"known":[28,138],"when":[29],"studying":[30],"such":[31,52],"events,":[32],"this":[33,56],"can":[34],"have":[35],"detrimental":[36],"effects.":[37],"Frailty":[38],"models":[39,149],"offer":[40],"a":[41,53,91],"tempting":[42],"solution":[43],"for":[44,94],"investigating":[45],"impact":[47],"unknown":[49],"in":[51],"case.":[54],"In":[55],"article,":[57],"we":[58],"assume":[59],"that":[60,68,146],"frailty":[61,72,159],"affects":[62],"hazard":[64],"rate.":[65],"We":[66],"find":[67],"weighted":[70],"Lindley":[71],"models,":[73],"which":[74],"use":[75],"general":[76],"versions":[77],"Weibull":[80],"log-logistic":[82],"type":[83],"II":[84],"distributions":[85],"as":[86,115],"baseline":[88],"distributions,":[89],"reliable":[92],"method":[93],"ensuring":[95],"influence":[97],"endogenous":[99],"variability.":[100],"The":[101,133],"parameters":[102],"involved":[103],"estimated":[105],"according":[106],"different":[108],"loss":[109],"functions":[110],"using":[111],"Bayesian":[113,123],"structure":[114],"basis":[117],"Markov":[119],"Chain":[120],"Monte":[121],"Carlo.":[122],"evaluation":[124],"strategies":[125],"then":[127],"implemented":[128],"evaluate":[130],"models.":[132],"results":[134],"demonstrated":[136],"on":[137,153],"data":[139],"kidney":[141],"infections.":[142],"It":[143],"is":[144],"shown":[145],"novel":[148],"outperform":[150],"those":[151],"based":[152],"inverse":[155],"Gaussian":[156],"gamma":[158],"distributions.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
