{"id":"https://openalex.org/W3192552999","doi":"https://doi.org/10.1111/biom.13545","title":"Nonparametric estimation of the survival distribution under covariate\u2010induced dependent truncation","display_name":"Nonparametric estimation of the survival distribution under covariate\u2010induced dependent truncation","publication_year":2021,"publication_date":"2021-08-13","ids":{"openalex":"https://openalex.org/W3192552999","doi":"https://doi.org/10.1111/biom.13545","mag":"3192552999","pmid":"https://pubmed.ncbi.nlm.nih.gov/34389985"},"language":"en","primary_location":{"id":"doi:10.1111/biom.13545","doi":"https://doi.org/10.1111/biom.13545","is_oa":false,"landing_page_url":"https://doi.org/10.1111/biom.13545","pdf_url":null,"source":{"id":"https://openalex.org/S8265502","display_name":"Biometrics","issn_l":"0006-341X","issn":["0006-341X","1541-0420"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["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/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biometrics","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/A5068320254","display_name":"Bella Vakulenko\u2010Lagun","orcid":"https://orcid.org/0000-0001-6727-4565","observed_orcids":["https://orcid.org/0000-0001-6727-4565"]},"institutions":[{"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":["IL"],"is_corresponding":true,"raw_author_name":"Bella Vakulenko\u2010Lagun","raw_affiliation_strings":["Department of Statistics, University of Haifa, Mount Carmel, Haifa, Israel"],"raw_orcid":"https://orcid.org/0000-0001-6727-4565","affiliations":[{"raw_affiliation_string":"Department of Statistics, University of Haifa, Mount Carmel, Haifa, Israel","institution_ids":["https://openalex.org/I91203450"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001637232","display_name":"Jing Qian","orcid":"https://orcid.org/0000-0001-6120-5147","observed_orcids":["https://orcid.org/0000-0001-6120-5147"]},"institutions":[{"id":"https://openalex.org/I24603500","display_name":"University of Massachusetts Amherst","ror":"https://ror.org/0072zz521","country_code":"US","type":"education","lineage":["https://openalex.org/I24603500"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Qian","raw_affiliation_strings":["Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Massachusetts, USA"],"raw_orcid":"https://orcid.org/0000-0001-6120-5147","affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Epidemiology, University of Massachusetts, Amherst, Massachusetts, USA","institution_ids":["https://openalex.org/I24603500"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040718162","display_name":"Sy Han Chiou","orcid":"https://orcid.org/0000-0003-2672-662X","observed_orcids":["https://orcid.org/0000-0003-2672-662X"]},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sy Han Chiou","raw_affiliation_strings":["Department of Mathematical Sciences, University of Texas, Dallas, Texas, USA"],"raw_orcid":"https://orcid.org/0000-0003-2672-662X","affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, University of Texas, Dallas, Texas, USA","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Nancy Wang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210087915","display_name":"Massachusetts General Hospital","ror":"https://ror.org/002pd6e78","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210087915","https://openalex.org/I48633490"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nancy Wang","raw_affiliation_strings":["Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Neurology, Massachusetts General Hospital, Boston, Massachusetts, USA","institution_ids":["https://openalex.org/I4210087915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018044773","display_name":"Rebecca A. Betensky","orcid":"https://orcid.org/0000-0002-3793-1437","observed_orcids":["https://orcid.org/0000-0002-3793-1437"]},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rebecca A. Betensky","raw_affiliation_strings":["Department of Biostatistics, School of Global Public Health, New York University, New York, New York, USA"],"raw_orcid":"https://orcid.org/0000-0002-3793-1437","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, School of Global Public Health, New York University, New York, New York, USA","institution_ids":["https://openalex.org/I57206974"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5068320254"],"corresponding_institution_ids":["https://openalex.org/I91203450"],"apc_list":{"value":3000,"currency":"USD","value_usd":3000},"apc_paid":null,"fwci":1.6735,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.86537167,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"78","issue":"4","first_page":"1390","last_page":"1401"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9110999703407288,"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":0.9110999703407288,"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":0.02669999934732914,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.01899999938905239,"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/nonparametric-survival-estimation","display_name":"nonparametric survival estimation","score":0.7799999713897705},{"id":"https://openalex.org/keywords/left-truncation","display_name":"left truncation","score":0.9629999995231628},{"id":"https://openalex.org/keywords/inverse-probability-weighting","display_name":"inverse probability weighting","score":0.7590000033378601},{"id":"https://openalex.org/keywords/propensity-score","display_name":"propensity score","score":0.9120000004768372},{"id":"https://openalex.org/keywords/delayed-entry","display_name":"delayed entry","score":0.5080000162124634},{"id":"https://openalex.org/keywords/right-censoring","display_name":"right censoring","score":0.9010000228881836},{"id":"https://openalex.org/keywords/lifetime-data","display_name":"time-to-event data","score":0.7419999837875366},{"id":"https://openalex.org/keywords/central-nervous-system-lymphoma","display_name":"central nervous system lymphoma","score":0.9089999794960022}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.8989927768707275},{"id":"https://openalex.org/C106195933","wikidata":"https://www.wikidata.org/wiki/Q7847935","display_name":"Truncation (statistics)","level":2,"score":0.7385416626930237},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.703913688659668},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6087828278541565},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5840116739273071},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.49120160937309265},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4837739169597626},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.41319966316223145},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11774373054504395},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","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":true},{"descriptor_ui":"D016019","descriptor_name":"Survival Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057216","descriptor_name":"Propensity Score","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1111/biom.13545","doi":"https://doi.org/10.1111/biom.13545","is_oa":false,"landing_page_url":"https://doi.org/10.1111/biom.13545","pdf_url":null,"source":{"id":"https://openalex.org/S8265502","display_name":"Biometrics","issn_l":"0006-341X","issn":["0006-341X","1541-0420"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["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/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Biometrics","raw_type":"journal-article"},{"id":"pmid:34389985","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34389985","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":"Biometrics","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G403350046","display_name":"Statistical methods for censored and dependently truncated data","funder_award_id":"R01NS094610","funder_id":"https://openalex.org/F4320337359","funder_display_name":"National Institute of Neurological Disorders and Stroke"}],"funders":[{"id":"https://openalex.org/F4320337359","display_name":"National Institute of Neurological Disorders and Stroke","ror":"https://ror.org/01s5ya894"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W259559760","https://openalex.org/W365432083","https://openalex.org/W380654685","https://openalex.org/W1234444405","https://openalex.org/W1498166375","https://openalex.org/W1573908268","https://openalex.org/W1575299154","https://openalex.org/W1895243895","https://openalex.org/W1970289782","https://openalex.org/W1978339884","https://openalex.org/W2005931737","https://openalex.org/W2024244628","https://openalex.org/W2024888783","https://openalex.org/W2032090486","https://openalex.org/W2036925391","https://openalex.org/W2057159436","https://openalex.org/W2061605822","https://openalex.org/W2062121976","https://openalex.org/W2063643288","https://openalex.org/W2071066672","https://openalex.org/W2071483694","https://openalex.org/W2086653135","https://openalex.org/W2089981499","https://openalex.org/W2092907968","https://openalex.org/W2150291618","https://openalex.org/W2558010923","https://openalex.org/W2600788184","https://openalex.org/W2905126170","https://openalex.org/W4233484125","https://openalex.org/W4249028376","https://openalex.org/W4292027009","https://openalex.org/W4293241248"],"related_works":["https://openalex.org/W1970289782","https://openalex.org/W7117297072","https://openalex.org/W4391734763","https://openalex.org/W7015817745","https://openalex.org/W2062121976","https://openalex.org/W2024888783","https://openalex.org/W1993721238","https://openalex.org/W3190913292","https://openalex.org/W4224034051","https://openalex.org/W2168540901"],"abstract_inverted_index":{"There":[0],"is":[1,66],"often":[2],"delayed":[3],"entry":[4],"into":[5],"observational":[6],"studies,":[7],"which":[8],"results":[9],"in":[10,113,123,129,145],"left":[11,63],"truncation.":[12],"In":[13],"the":[14,17,31,47,52,58,95,110,146],"estimation":[15,50],"of":[16,19,49,51,94],"distribution":[18,54],"time-to-event":[20],"from":[21,133],"left-truncated":[22],"data,":[23],"standard":[24],"survival":[25,53],"analysis":[26],"methods":[27,84,102,112,142],"require":[28],"quasi-independence":[29,39],"between":[30,57],"truncation":[32,64,89],"time":[33,60,65],"and":[34,61,78,90,118],"event":[35,59],"time.":[36],"Incorrectly":[37],"assuming":[38],"may":[40],"lead":[41],"to":[42,131],"biased":[43],"estimation.":[44],"We":[45,71,108,125],"address":[46],"problem":[48],"when":[55],"dependence":[56],"its":[62],"induced":[67],"by":[68],"shared":[69,96],"covariates.":[70],"introduce":[72],"propensity":[73],"scores":[74],"for":[75,87,105,121],"truncated":[76],"data":[77,132],"propose":[79],"two":[80],"inverse":[81],"probability":[82],"weighting":[83],"that":[85],"adjust":[86],"both":[88],"dependence,":[91],"if":[92],"all":[93],"covariates":[97],"are":[98,143],"measured.":[99],"The":[100,140],"proposed":[101,111,141],"additionally":[103],"allow":[104],"right":[106],"censoring.":[107],"evaluate":[109],"simulations,":[114],"conduct":[115],"sensitivity":[116],"analyses,":[117],"provide":[119],"guidelines":[120],"use":[122],"practice.":[124],"illustrate":[126],"our":[127],"approach":[128],"application":[130],"a":[134],"central":[135],"nervous":[136],"system":[137],"lymphoma":[138],"study.":[139],"implemented":[144],"R":[147],"package,":[148],"depLT.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2021-08-16T00:00:00"}