{"id":"https://openalex.org/W2588286948","doi":"https://doi.org/10.1080/03610918.2017.1291961","title":"A comparison of parametric and semi-parametric survival models with artificial neural networks","display_name":"A comparison of parametric and semi-parametric survival models with artificial neural networks","publication_year":2017,"publication_date":"2017-02-13","ids":{"openalex":"https://openalex.org/W2588286948","doi":"https://doi.org/10.1080/03610918.2017.1291961","mag":"2588286948"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2017.1291961","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1291961","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/A5070489410","display_name":"Reza Rezaei Mokarram","orcid":"https://orcid.org/0000-0002-6405-4310"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Reza Mokarram","raw_affiliation_strings":["Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020909458","display_name":"Mahdi Emadi","orcid":"https://orcid.org/0000-0003-1663-9119"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Mahdi Emadi","raw_affiliation_strings":["Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109330979","display_name":"A. Habibi Rad","orcid":null},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Arezou Habibi Rad","raw_affiliation_strings":["Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049360369","display_name":"Mehdi Jabbari Nooghabi","orcid":"https://orcid.org/0000-0002-5636-2209"},"institutions":[{"id":"https://openalex.org/I86958956","display_name":"Ferdowsi University of Mashhad","ror":"https://ror.org/00g6ka752","country_code":"IR","type":"education","lineage":["https://openalex.org/I86958956"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Mahdi Jabbari Nooghabi","raw_affiliation_strings":["Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran"],"raw_orcid":"https://orcid.org/0000-0002-5636-2209","affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Mathematical Sciences, Ferdowsi University of Mashhad, Mashhad, Iran","institution_ids":["https://openalex.org/I86958956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5020909458"],"corresponding_institution_ids":["https://openalex.org/I86958956"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.02390781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"47","issue":"3","first_page":"738","last_page":"746"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9925000071525574,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9925000071525574,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9635000228881836,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.77476966381073},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.7481520175933838},{"id":"https://openalex.org/keywords/parametric-model","display_name":"Parametric model","score":0.47586268186569214},{"id":"https://openalex.org/keywords/semiparametric-model","display_name":"Semiparametric model","score":0.47098323702812195},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45260751247406006},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4332137107849121},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24732926487922668},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1703491508960724}],"concepts":[{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.77476966381073},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.7481520175933838},{"id":"https://openalex.org/C24574437","wikidata":"https://www.wikidata.org/wiki/Q7135228","display_name":"Parametric model","level":3,"score":0.47586268186569214},{"id":"https://openalex.org/C78297888","wikidata":"https://www.wikidata.org/wiki/Q7449607","display_name":"Semiparametric model","level":3,"score":0.47098323702812195},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45260751247406006},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4332137107849121},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24732926487922668},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1703491508960724}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2017.1291961","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1291961","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","score":0.4399999976158142,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W73642277","https://openalex.org/W1511777662","https://openalex.org/W2002011878","https://openalex.org/W2006617902","https://openalex.org/W2010631330","https://openalex.org/W2012270441","https://openalex.org/W2021971599","https://openalex.org/W2109116465","https://openalex.org/W2124776405","https://openalex.org/W2136916987","https://openalex.org/W2158698691","https://openalex.org/W2171515720","https://openalex.org/W2581873424","https://openalex.org/W2797916974","https://openalex.org/W4233699818","https://openalex.org/W4249543772","https://openalex.org/W4297938578","https://openalex.org/W4298304654","https://openalex.org/W7005494288"],"related_works":["https://openalex.org/W2289718384","https://openalex.org/W2509524819","https://openalex.org/W2012121796","https://openalex.org/W2068427817","https://openalex.org/W1995675544","https://openalex.org/W1523105382","https://openalex.org/W2946640737","https://openalex.org/W3124503859","https://openalex.org/W2767423066","https://openalex.org/W1985875898"],"abstract_inverted_index":{"Survival":[0],"models":[1,26,36,69,116],"are":[2,14],"used":[3],"to":[4,126],"examine":[5],"data":[6],"in":[7,16,70],"the":[8,43,51,63,78,91,105,127,131,135],"event":[9],"of":[10,31,46,65,73,77,96,123],"an":[11],"occurrence.":[12],"These":[13],"discussed":[15],"various":[17],"types":[18],"including":[19],"parametric,":[20],"non-parametric":[21,44],"and":[22,34,54,87,89,113,134],"semi-parametric":[23,35],"models.":[24,61],"Parametric":[25],"require":[27],"a":[28],"clear":[29],"distribution":[30,66,80],"survival":[32,68,112],"time,":[33],"assume":[37],"proportional":[38],"hazards.":[39],"Among":[40],"these":[41],"models,":[42],"model":[45,109,129],"artificial":[47],"neural":[48,106],"network":[49,107],"has":[50],"fewest":[52],"assumptions":[53],"can":[55],"be":[56],"often":[57],"replaced":[58],"by":[59,104],"other":[60],"Given":[62],"importance":[64],"Weibull":[67,79],"this":[71],"study":[72],"simulation":[74],"shape":[75],"parameter":[76],"have":[81,98,138],"been":[82,99,139],"assumed":[83],"as":[84],"1,":[85],"2":[86],"3,":[88],"also":[90],"average":[92],"rate":[93],"at":[94],"levels":[95,122],"0%\u201375%":[97],"censored.":[100],"The":[101],"values":[102],"predicted":[103],"forecasting":[108],"with":[110],"parametric":[111],"Cox":[114],"regression":[115],"were":[117],"compared.":[118],"This":[119],"comparison":[120],"considering":[121],"complexity":[124],"due":[125],"hazard":[128],"using":[130],"ROC":[132],"curve":[133],"corresponding":[136],"tests":[137],"carried":[140],"out.":[141]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}