{"id":"https://openalex.org/W2340720341","doi":null,"title":"LONG-TERM CARE INSURANCE: A MULTI-STATE SEMI-MARKOV MODEL TO DESCRIBE THE DEPENDENCY PROCESS IN ELDERLY PEOPLE","display_name":"LONG-TERM CARE INSURANCE: A MULTI-STATE SEMI-MARKOV MODEL TO DESCRIBE THE DEPENDENCY PROCESS IN ELDERLY PEOPLE","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2340720341","mag":"2340720341"},"language":"en","primary_location":{"id":"mag:2340720341","doi":null,"is_oa":false,"landing_page_url":"http://www.ressources-actuarielles.net/EXT/IA/sitebfa.nsf/0/A7B1A8A0D506ECFCC1257E56007134DC/$FILE/29_Article2.pdf?OpenElement","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","indexed_in":[],"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/A5082389946","display_name":"Guillaume Biessy","orcid":"https://orcid.org/0000-0003-3756-7345","observed_orcids":["https://orcid.org/0000-0003-3756-7345"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Guillaume Biessy","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-3756-7345","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5082389946"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.9247,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.9660635,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9082000255584717,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9082000255584717,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11720","display_name":"Probability and Risk Models","score":0.02710000053048134,"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"}},{"id":"https://openalex.org/T11376","display_name":"Geriatric Care and Nursing Homes","score":0.01769999973475933,"subfield":{"id":"https://openalex.org/subfields/3600","display_name":"General Health Professions"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/long-term-care-insurance","display_name":"long-term care insurance","score":1.0},{"id":"https://openalex.org/keywords/dependency-level","display_name":"dependency level","score":0.6700000166893005},{"id":"https://openalex.org/keywords/older-adults","display_name":"older adults","score":0.5929999947547913},{"id":"https://openalex.org/keywords/semi-markov-model","display_name":"semi-Markov model","score":0.9139999747276306},{"id":"https://openalex.org/keywords/multistate-models","display_name":"multi-state models","score":0.8330000042915344},{"id":"https://openalex.org/keywords/allocation-personnalisee-d-autonomie","display_name":"Allocation Personnalis\u00e9e d'Autonomie","score":0.9150000214576721},{"id":"https://openalex.org/keywords/insurance-pricing","display_name":"insurance pricing","score":0.6480000019073486},{"id":"https://openalex.org/keywords/transition-probabilities","display_name":"transition probabilities","score":0.6269999742507935},{"id":"https://openalex.org/keywords/likelihood-maximization","display_name":"likelihood maximization","score":0.7390000224113464},{"id":"https://openalex.org/keywords/monte-carlo-simulation","display_name":"Monte Carlo simulation","score":0.7620000243186951}],"concepts":[{"id":"https://openalex.org/C2781058065","wikidata":"https://www.wikidata.org/wiki/Q1674580","display_name":"Long-term care insurance","level":3,"score":0.6024503707885742},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.5853567123413086},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.5532622933387756},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5377180576324463},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.4782741963863373},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.46265465021133423},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.44452521204948425},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.43534865975379944},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4141850471496582},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.3981415629386902},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.22334378957748413},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20545166730880737},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.15836021304130554},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15452444553375244},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1521085798740387},{"id":"https://openalex.org/C2780233487","wikidata":"https://www.wikidata.org/wiki/Q6672123","display_name":"Long-term care","level":2,"score":0.1499270498752594},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1456720530986786},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14513984322547913},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2340720341","doi":null,"is_oa":false,"landing_page_url":"http://www.ressources-actuarielles.net/EXT/IA/sitebfa.nsf/0/A7B1A8A0D506ECFCC1257E56007134DC/$FILE/29_Article2.pdf?OpenElement","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.4043000042438507,"id":"https://metadata.un.org/sdg/3"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W183074452","https://openalex.org/W620465456","https://openalex.org/W1608325120","https://openalex.org/W1981100514","https://openalex.org/W2000114767","https://openalex.org/W2027834753","https://openalex.org/W2049450020","https://openalex.org/W2055452874","https://openalex.org/W2122081738","https://openalex.org/W2136883754","https://openalex.org/W2171074980","https://openalex.org/W2419392281","https://openalex.org/W2531927914","https://openalex.org/W2582743722","https://openalex.org/W2735545855","https://openalex.org/W3110900362"],"related_works":["https://openalex.org/W4376141027","https://openalex.org/W2793061330","https://openalex.org/W2368676147","https://openalex.org/W2958810937","https://openalex.org/W3126201018","https://openalex.org/W2214733477","https://openalex.org/W1008575115","https://openalex.org/W2965828782","https://openalex.org/W4380740784","https://openalex.org/W3092002628"],"abstract_inverted_index":{"The":[0,131],"pricing":[1,210],"of":[2,22,31,41,58,106,123,126,140,147,184,198,211],"today's":[3],"long-term":[4,114,158,214],"care":[5,115,159,215],"insurance":[6,116,216],"products":[7],"relies":[8],"on":[9,73,79,153],"simple":[10,94],"models":[11],"where":[12],"dependency":[13],"is":[14,63,98,151],"considered":[15],"as":[16],"a":[17,38,64,141,188,212,219],"single":[18],"homogeneous":[19],"state.":[20,85],"Because":[21],"aging":[23],"population":[24],"and":[25,97],"rapid":[26],"evolution":[27],"in":[28,83,103,111],"the":[29,42,74,80,93,104,124,137,156,162,170,182,196,199,209],"field":[30,105],"medicine,":[32],"it":[33,47],"becomes":[34],"paramount":[35],"to":[36,100,129,173,181,208],"get":[37],"clearer":[39],"picture":[40],"underlying":[43],"risk.":[44],"We":[45,178],"believe":[46],"may":[48],"only":[49,71],"be":[50],"achieved":[51],"by":[52],"taking":[53,193],"into":[54,194],"account":[55,195],"several":[56],"levels":[57,146],"dependency.":[59,148],"A":[60],"semi-Markov":[61,142],"process":[62,66,87,139],"multi-state":[65],"whose":[67],"transition":[68],"probabilities":[69],"not":[70],"depend":[72],"current":[75],"state":[76],"but":[77],"also":[78],"time":[81],"spent":[82],"this":[84,206],"This":[86,149],"has":[88,117],"proven":[89],"more":[90],"flexible":[91],"than":[92],"Markov":[95],"process,":[96],"core":[99],"numerous":[101],"publications":[102],"epidemiology.":[107],"However":[108],"its":[109],"use":[110],"relation":[112],"with":[113,144],"remained":[118],"mostly":[119],"theoretical,":[120],"mainly":[121],"because":[122],"lack":[125],"data":[127,154,201],"available":[128],"insurers.":[130],"present":[132],"article":[133],"aims":[134],"at":[135],"introducing":[136],"construction":[138],"model":[143,174,207],"4":[145],"work":[150],"based":[152],"from":[155],"French":[157],"public":[160],"aid:":[161],"Allocation":[163],"Personnalisee":[164],"d'Autonomie":[165],"(APA).":[166],"Firstly,":[167],"we":[168,204],"introduce":[169],"parameters":[171],"used":[172],"transitions":[175],"between":[176],"states.":[177],"then":[179],"proceed":[180],"calibration":[183],"those":[185],"parameters,":[186],"using":[187,218],"likelihood":[189],"maximization":[190],"method,":[191],"while":[192],"peculiarities":[197],"APA":[200],"set.":[202],"Finally,":[203],"apply":[205],"fictive":[213],"product,":[217],"Monte":[220],"Carlo":[221],"method.":[222]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2016-06-24T00:00:00"}
