{"id":"https://openalex.org/W2994042428","doi":"https://doi.org/10.1016/j.cmpb.2019.105259","title":"Computational issues in fitting joint frailty models for recurrent events with an associated terminal event","display_name":"Computational issues in fitting joint frailty models for recurrent events with an associated terminal event","publication_year":2019,"publication_date":"2019-12-02","ids":{"openalex":"https://openalex.org/W2994042428","doi":"https://doi.org/10.1016/j.cmpb.2019.105259","mag":"2994042428","pmid":"https://pubmed.ncbi.nlm.nih.gov/31862679"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cmpb.2019.105259","pdf_url":null,"source":{"id":"https://openalex.org/S138959710","display_name":"Computer Methods and Programs in Biomedicine","issn_l":"0169-2607","issn":["0169-2607","1872-7565"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.1016/j.cmpb.2019.105259","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031374547","display_name":"Gerrit Toenges","orcid":"https://orcid.org/0000-0002-9745-9437"},"institutions":[{"id":"https://openalex.org/I4210094062","display_name":"University Medical Center of the Johannes Gutenberg University Mainz","ror":"https://ror.org/00q1fsf04","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210094062"]},{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Gerrit Toenges","raw_affiliation_strings":["Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany","institution_ids":["https://openalex.org/I4210094062","https://openalex.org/I197323543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007622580","display_name":"Antje Jahn\u2010Eimermacher","orcid":"https://orcid.org/0000-0002-2397-5340"},"institutions":[{"id":"https://openalex.org/I197323543","display_name":"Johannes Gutenberg University Mainz","ror":"https://ror.org/023b0x485","country_code":"DE","type":"education","lineage":["https://openalex.org/I197323543"]},{"id":"https://openalex.org/I107257983","display_name":"Darmstadt University of Applied Sciences","ror":"https://ror.org/047wbd030","country_code":"DE","type":"education","lineage":["https://openalex.org/I107257983"]},{"id":"https://openalex.org/I4210094062","display_name":"University Medical Center of the Johannes Gutenberg University Mainz","ror":"https://ror.org/00q1fsf04","country_code":"DE","type":"healthcare","lineage":["https://openalex.org/I4210094062"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Antje Jahn-Eimermacher","raw_affiliation_strings":["Department of Mathematics and Natural Sciences, Darmstadt University of Applied Sciences, Darmstadt, Germany","Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany"],"affiliations":[{"raw_affiliation_string":"Institute of Medical Biostatistics, Epidemiology and Informatics, University Medical Center of the Johannes Gutenberg University Mainz, Mainz, Germany","institution_ids":["https://openalex.org/I197323543","https://openalex.org/I4210094062"]},{"raw_affiliation_string":"Department of Mathematics and Natural Sciences, Darmstadt University of Applied Sciences, Darmstadt, Germany","institution_ids":["https://openalex.org/I107257983"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5031374547"],"corresponding_institution_ids":["https://openalex.org/I4210094062","https://openalex.org/I197323543"],"apc_list":{"value":2880,"currency":"USD","value_usd":2880,"provenance":"doaj"},"apc_paid":{"value":2880,"currency":"USD","value_usd":2880,"provenance":"doaj"},"fwci":0.859,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.723824,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":86,"max":87},"biblio":{"volume":"188","issue":null,"first_page":"105259","last_page":"105259"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11011","display_name":"Frailty in Older Adults","score":0.9961,"subfield":{"id":"https://openalex.org/subfields/2717","display_name":"Geriatrics and Gerontology"},"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/T11011","display_name":"Frailty in Older Adults","score":0.9961,"subfield":{"id":"https://openalex.org/subfields/2717","display_name":"Geriatrics and Gerontology"},"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/T10804","display_name":"Health Systems, Economic Evaluations, Quality of Life","score":0.9876,"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/T10397","display_name":"Nutrition and Health in Aging","score":0.9555,"subfield":{"id":"https://openalex.org/subfields/2737","display_name":"Physiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6893983},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5931449},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.46566796},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.43643323},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41536728},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40073976},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39785844},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24226585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17821524},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cmpb.2019.105259","pdf_url":null,"source":{"id":"https://openalex.org/S138959710","display_name":"Computer Methods and Programs in Biomedicine","issn_l":"0169-2607","issn":["0169-2607","1872-7565"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.cmpb.2019.105259","pdf_url":null,"source":{"id":"https://openalex.org/S138959710","display_name":"Computer Methods and Programs in Biomedicine","issn_l":"0169-2607","issn":["0169-2607","1872-7565"],"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":true,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.44}],"grants":[{"funder":"https://openalex.org/F4320320879","funder_display_name":"Deutsche Forschungsgemeinschaft","award_id":"JA 1821/4-1"}],"datasets":[],"versions":[],"referenced_works_count":28,"referenced_works":["https://openalex.org/W1494478641","https://openalex.org/W183765262","https://openalex.org/W184106905","https://openalex.org/W1866990630","https://openalex.org/W1870916828","https://openalex.org/W1964313277","https://openalex.org/W1967495697","https://openalex.org/W1971086176","https://openalex.org/W1988289682","https://openalex.org/W2002993332","https://openalex.org/W2004345491","https://openalex.org/W2019577138","https://openalex.org/W2050708074","https://openalex.org/W2062294426","https://openalex.org/W2069392853","https://openalex.org/W2072345235","https://openalex.org/W2087070363","https://openalex.org/W2092692836","https://openalex.org/W2098780362","https://openalex.org/W2121046269","https://openalex.org/W2130114357","https://openalex.org/W2185708239","https://openalex.org/W2222841588","https://openalex.org/W2487822760","https://openalex.org/W2986444355","https://openalex.org/W3182147850","https://openalex.org/W3209204398","https://openalex.org/W4240400659"],"related_works":["https://openalex.org/W4289356671","https://openalex.org/W3186837933","https://openalex.org/W3174513558","https://openalex.org/W2389155397","https://openalex.org/W2368989808","https://openalex.org/W2355687852","https://openalex.org/W2312753042","https://openalex.org/W2165884543","https://openalex.org/W2034959125","https://openalex.org/W1969346022"],"abstract_inverted_index":{"Background":[0],"and":[1,124,136,151,264,274,310],"objective:":[2],"Joint":[3],"frailty":[4,59,155,228,259],"regression":[5,171],"models":[6,60,260,302],"are":[7,158,173],"intended":[8],"for":[9,26,56,101,170,224],"the":[10,17,31,37,45,80,102,117,149,177,179,182,190,214,225,232,244,270],"analysis":[11,150],"of":[12,19,33,39,47,83,104,119,128,132,139,153,176,181,213,243],"recurrent":[13,40,307],"event":[14,308],"times":[15],"in":[16,44,70,79,99,126,200,208,222,303],"presence":[18,46],"informative":[20,312],"drop-outs.":[21,313],"They":[22],"have":[23,66,251],"been":[24],"proposed":[25],"clinical":[27,84,304],"trials":[28,305],"to":[29,50,67,72,91,115,195,204,218,299],"estimate":[30],"effect":[32],"some":[34,63],"treatment":[35],"on":[36,189,279,286],"rate":[38],"heart":[41],"failure":[42],"hospitalisations":[43],"drop-outs":[48],"due":[49],"cardiovascular":[51],"death.":[52],"Whereas":[53,168],"a":[54,112,210,238],"R-software-package":[55],"fitting":[57],"joint":[58,154,226,258],"is":[61,77,193,216,235,261],"available,":[62],"technical":[64],"issues":[65,94],"be":[68,196,267],"solved":[69],"order":[71],"use":[73,242],"SAS\u24c71":[74],"software,":[75,178],"which":[76],"required":[78,217],"regulatory":[81],"environment":[82],"trials.":[85],"Methods:":[86],"First,":[87],"we":[88,110,143,283],"demonstrate":[89],"how":[90],"solve":[92],"these":[93,287,301],"by":[95],"deriving":[96],"proper":[97],"likelihood-decompositions,":[98],"particular":[100,223],"case":[103],"non-normally":[105],"distributed":[106],"random":[107],"terms.":[108],"Second,":[109],"perform":[111],"simulation":[113,152,281],"study":[114],"evaluate":[116],"accuracy":[118],"different":[120],"software-implementations":[121],"(in":[122],"SAS":[123,145,192,209,293],"R)":[125],"terms":[127],"convergence":[129],"behavior,":[130],"bias":[131,180,202],"model":[133],"parameter":[134,185],"estimates":[135,169,186],"coverage":[137],"probabilities":[138],"confidence":[140],"intervals.":[141],"Therefore":[142],"developed":[144],"macros":[146,294],"that":[147,240,253],"facilitate":[148],"data.":[156],"These":[157],"provided":[159,292],"as":[160],"supplementary":[161],"material":[162],"along":[163],"with":[164,237,306],"comprehensive":[165],"manuals.":[166],"Results:":[167],"coefficients":[172],"unbiased":[174],"irrespective":[175],"remaining":[183],"(nuisance)":[184],"strongly":[187],"depends":[188],"software:":[191],"shown":[194],"much":[197],"more":[198],"efficient":[199],"avoiding":[201],"compared":[203],"R.":[205],"However,":[206],"even":[207],"careful":[211],"choice":[212],"implementation":[215],"get":[219],"reliable":[220,255],"results,":[221],"gamma":[227],"model.":[229],"By":[230],"far":[231],"best":[233],"performance":[234],"reached":[236],"SAS-implementation":[239],"makes":[241],"probability":[245],"integral":[246],"transformation":[247],"method.":[248],"Conclusions:":[249],"We":[250],"shown,":[252],"getting":[254],"results":[256],"from":[257],"not":[262],"straightforward":[263],"users":[265],"should":[266],"aware":[268],"about":[269],"computational":[271],"options":[272],"between":[273],"within":[275],"software":[276],"packages.":[277],"Based":[278],"our":[280,291],"study,":[282],"elaborate":[284],"recommendations":[285],"options.":[288],"In":[289],"addition,":[290],"may":[295],"encourage":[296],"statistical":[297],"practitioners":[298],"apply":[300],"data":[309],"potentially":[311]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2994042428","counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2025-01-17T09:45:58.069287","created_date":"2019-12-13"}