{"id":"https://openalex.org/W4310266368","doi":"https://doi.org/10.1002/sim.9615","title":"Generalized mean residual life models for survival data with missing censoring indicators","display_name":"Generalized mean residual life models for survival data with missing censoring indicators","publication_year":2022,"publication_date":"2022-11-27","ids":{"openalex":"https://openalex.org/W4310266368","doi":"https://doi.org/10.1002/sim.9615","pmid":"https://pubmed.ncbi.nlm.nih.gov/36437483"},"language":"en","primary_location":{"id":"doi:10.1002/sim.9615","doi":"https://doi.org/10.1002/sim.9615","is_oa":false,"landing_page_url":"https://doi.org/10.1002/sim.9615","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","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/A5100338169","display_name":"Wenwen Li","orcid":"https://orcid.org/0000-0001-9806-5045","observed_orcids":["https://orcid.org/0000-0001-9806-5045","https://orcid.org/0000-0002-3127-1546"]},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenwen Li","raw_affiliation_strings":["KLATASDS-MOE, School of Statistics and Academy of Statistics and Interdisciplinary Sciences, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"KLATASDS-MOE, School of Statistics and Academy of Statistics and Interdisciplinary Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039142525","display_name":"Huijuan Ma","orcid":"https://orcid.org/0000-0002-2053-972X","observed_orcids":["https://orcid.org/0000-0002-2053-972X"]},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Huijuan Ma","raw_affiliation_strings":["KLATASDS-MOE, School of Statistics and Academy of Statistics and Interdisciplinary Sciences, East China Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-2053-972X","affiliations":[{"raw_affiliation_string":"KLATASDS-MOE, School of Statistics and Academy of Statistics and Interdisciplinary Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010698227","display_name":"David Faraggi","orcid":"https://orcid.org/0000-0003-2131-620X","observed_orcids":["https://orcid.org/0000-0003-2131-620X"]},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]},{"id":"https://openalex.org/I91203450","display_name":"University of Haifa","ror":"https://ror.org/02f009v59","country_code":"IL","type":"education","lineage":["https://openalex.org/I91203450"]}],"countries":["CN","IL"],"is_corresponding":false,"raw_author_name":"David Faraggi","raw_affiliation_strings":["Department of Statistics, University of Haifa, Haifa, Israel","KLATASDS-MOE, School of Statistics and Academy of Statistics and Interdisciplinary Sciences, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Haifa, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]},{"raw_affiliation_string":"KLATASDS-MOE, School of Statistics and Academy of Statistics and Interdisciplinary Sciences, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110447106","display_name":"Gregg E. Dinse","orcid":"https://orcid.org/0000-0003-1456-5582","observed_orcids":["https://orcid.org/0000-0003-1456-5582"]},"institutions":[{"id":"https://openalex.org/I4210113114","display_name":"Social and Scientific Systems (United States)","ror":"https://ror.org/024daed65","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113114"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregg E. Dinse","raw_affiliation_strings":["Public Health &amp; Scientific Research Social and Scientific Systems Durham North Carolina USA","Public Health & Scientific Research, Social and Scientific Systems, Durham, North Carolina, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Public Health &amp; Scientific Research Social and Scientific Systems Durham North Carolina USA","institution_ids":["https://openalex.org/I4210113114"]},{"raw_affiliation_string":"Public Health & Scientific Research, Social and Scientific Systems, Durham, North Carolina, USA","institution_ids":["https://openalex.org/I4210113114"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5039142525"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":{"value":4800,"currency":"USD","value_usd":4800},"apc_paid":null,"fwci":0.5097,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64288411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"42","issue":"3","first_page":"264","last_page":"280"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.8690999746322632,"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":0.8690999746322632,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.10000000149011612,"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":0.019700000062584877,"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/mean-residual-life","display_name":"mean residual life","score":0.875},{"id":"https://openalex.org/keywords/missing-at-random","display_name":"missing at random","score":0.8849999904632568},{"id":"https://openalex.org/keywords/right-censored-survival-data","display_name":"right-censored survival data","score":0.8999999761581421},{"id":"https://openalex.org/keywords/inverse-probability-weighting","display_name":"inverse probability weighting","score":0.847000002861023},{"id":"https://openalex.org/keywords/asymptotic-properties","display_name":"asymptotic properties","score":0.8370000123977661}],"concepts":[{"id":"https://openalex.org/C35981017","wikidata":"https://www.wikidata.org/wiki/Q6060409","display_name":"Inverse probability","level":4,"score":0.7840561270713806},{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.7174580693244934},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6831255555152893},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6603377461433411},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6387934684753418},{"id":"https://openalex.org/C42600057","wikidata":"https://www.wikidata.org/wiki/Q2915096","display_name":"Survival function","level":3,"score":0.5631923675537109},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5601908564567566},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.550796627998352},{"id":"https://openalex.org/C204016326","wikidata":"https://www.wikidata.org/wiki/Q5401384","display_name":"Estimating equations","level":3,"score":0.47759032249450684},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.47134682536125183},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.4494684040546417},{"id":"https://openalex.org/C89106044","wikidata":"https://www.wikidata.org/wiki/Q45284","display_name":"Likelihood function","level":3,"score":0.4437805116176605},{"id":"https://openalex.org/C27406209","wikidata":"https://www.wikidata.org/wiki/Q6394203","display_name":"Kernel smoother","level":5,"score":0.4197912812232971},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4174841642379761},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.4142509996891022},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.32225099205970764},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.21970823407173157},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.18467918038368225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14928361773490906},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.12176817655563354},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10811489820480347},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.106265127658844},{"id":"https://openalex.org/C75866337","wikidata":"https://www.wikidata.org/wiki/Q7280263","display_name":"Radial basis function kernel","level":4,"score":0.0},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D001932","descriptor_name":"Brain Neoplasms","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":"D011336","descriptor_name":"Probability","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":2,"locations":[{"id":"doi:10.1002/sim.9615","doi":"https://doi.org/10.1002/sim.9615","is_oa":false,"landing_page_url":"https://doi.org/10.1002/sim.9615","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:36437483","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36437483","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.428600013256073,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1045535893","display_name":null,"funder_award_id":"2021YFA1000101","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G2002593713","display_name":"\u57fa\u4e8e\u6a21\u578b\u5e73\u5747\u7684\u5145\u5206\u964d\u7ef4\u7406\u8bba\u548c\u65b9\u6cd5\u7814\u7a76","funder_award_id":"11971170","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3935064645","display_name":null,"funder_award_id":"71931004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5138192803","display_name":null,"funder_award_id":"11901200","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5753598139","display_name":"\u6982\u7387\u626d\u66f2\u4e0b\u7684\u6295\u8d44\u7ec4\u5408\u7ba1\u7406\u4e0e\u8d44\u4ea7\u5b9a\u4ef7\u7814\u7a76","funder_award_id":"71971083","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W416289116","https://openalex.org/W1523758311","https://openalex.org/W1594420653","https://openalex.org/W1966364968","https://openalex.org/W1980359965","https://openalex.org/W1984659612","https://openalex.org/W1999436902","https://openalex.org/W1999512884","https://openalex.org/W2002338364","https://openalex.org/W2009352707","https://openalex.org/W2019304245","https://openalex.org/W2023775301","https://openalex.org/W2030502605","https://openalex.org/W2034948055","https://openalex.org/W2039811614","https://openalex.org/W2047537204","https://openalex.org/W2049929026","https://openalex.org/W2057968703","https://openalex.org/W2072015393","https://openalex.org/W2088855331","https://openalex.org/W2099236606","https://openalex.org/W2125103517","https://openalex.org/W2138037057","https://openalex.org/W2154927930","https://openalex.org/W2293389437","https://openalex.org/W2313407065","https://openalex.org/W2519273898","https://openalex.org/W2550542954","https://openalex.org/W2574592613","https://openalex.org/W2740682258","https://openalex.org/W2794164534","https://openalex.org/W2963039154","https://openalex.org/W2968418277","https://openalex.org/W3034426443","https://openalex.org/W3141119199","https://openalex.org/W4233471163","https://openalex.org/W4246784033"],"related_works":["https://openalex.org/W2093720053","https://openalex.org/W7098262117","https://openalex.org/W4408310808","https://openalex.org/W2192390763","https://openalex.org/W2914329950","https://openalex.org/W3034426443","https://openalex.org/W289579547","https://openalex.org/W2034181302","https://openalex.org/W2030359529","https://openalex.org/W1523758311"],"abstract_inverted_index":{"The":[0],"mean":[1],"residual":[2],"life":[3],"(MRL)":[4],"function":[5,15],"is":[6,99,111],"an":[7,74],"important":[8],"and":[9,31,69,95],"attractive":[10],"alternative":[11],"to":[12,107,113],"the":[13,18,29,52,66,70,90,115],"hazard":[14],"for":[16,40],"characterizing":[17],"distribution":[19],"of":[20,33,36,73,89],"a":[21,34],"time-to-event":[22],"variable.":[23],"In":[24],"this":[25],"article,":[26],"we":[27],"study":[28],"modeling":[30],"inference":[32],"family":[35],"generalized":[37],"MRL":[38],"models":[39],"right-censored":[41],"survival":[42],"data":[43,110],"with":[44],"censoring":[45],"indicators":[46],"missing":[47],"at":[48],"random.":[49],"To":[50],"estimate":[51],"model":[53],"parameters,":[54],"augmented":[55],"inverse":[56],"probability":[57,68,72],"weighted":[58],"estimating":[59],"equation":[60],"approaches":[61],"are":[62,77,93],"developed,":[63],"in":[64],"which":[65],"non-missingness":[67],"conditional":[71],"uncensored":[75],"observation":[76],"estimated":[78],"by":[79,101],"parametric":[80],"methods":[81],"or":[82],"nonparametric":[83],"kernel":[84],"smoothing":[85],"techniques.":[86],"Asymptotic":[87],"properties":[88],"proposed":[91,116],"estimators":[92],"established":[94],"finite":[96],"sample":[97],"performance":[98],"evaluated":[100],"extensive":[102],"simulation":[103],"studies.":[104],"An":[105],"application":[106],"brain":[108],"cancer":[109],"presented":[112],"illustrate":[114],"methods.":[117]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2022-11-30T00:00:00"}
