{"id":"https://openalex.org/W4393529788","doi":"https://doi.org/10.1080/03610918.2024.2333355","title":"Simultaneous variable selection and parameters estimation for longitudinal data subject to missingness and covariates measurement error","display_name":"Simultaneous variable selection and parameters estimation for longitudinal data subject to missingness and covariates measurement error","publication_year":2024,"publication_date":"2024-04-02","ids":{"openalex":"https://openalex.org/W4393529788","doi":"https://doi.org/10.1080/03610918.2024.2333355"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2024.2333355","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2333355","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/A5047946718","display_name":"Heba Basha","orcid":"https://orcid.org/0000-0001-7315-7226"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Heba A. Basha","raw_affiliation_strings":["Department of Statistics, Faculty of Economics and Political Science, Cairo University","Department of Statistics, Faculty of Economics and Political Science, Cairo University, Giza, Egypt"],"raw_orcid":"https://orcid.org/0000-0001-7315-7226","affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Economics and Political Science, Cairo University","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"Department of Statistics, Faculty of Economics and Political Science, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005626038","display_name":"Abd-Elnaser S. Abd-Rabou","orcid":null},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Abdelnaser S. Abdrabou","raw_affiliation_strings":["Department of Statistics, Faculty of Economics and Political Science, Cairo University","Department of Statistics, Faculty of Economics and Political Science, Cairo University, Giza, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-8924-9798","affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Economics and Political Science, Cairo University","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"Department of Statistics, Faculty of Economics and Political Science, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042542828","display_name":"Ahmed M. Gad","orcid":"https://orcid.org/0000-0002-2991-6245"},"institutions":[{"id":"https://openalex.org/I154023281","display_name":"British University in Egypt","ror":"https://ror.org/0066fxv63","country_code":"EG","type":"education","lineage":["https://openalex.org/I154023281"]}],"countries":["EG"],"is_corresponding":true,"raw_author_name":"Ahmed M. Gad","raw_affiliation_strings":["Business Administration Department, Faculty of Business Administration, Economics and Political Science, British University in Egypt (BUE)","Business Administration Department, Faculty of Business Administration, Economics and Political Science, British University in Egypt (BUE), El Shorouk, Egypt"],"raw_orcid":"https://orcid.org/0000-0002-2991-6245","affiliations":[{"raw_affiliation_string":"Business Administration Department, Faculty of Business Administration, Economics and Political Science, British University in Egypt (BUE)","institution_ids":["https://openalex.org/I154023281"]},{"raw_affiliation_string":"Business Administration Department, Faculty of Business Administration, Economics and Political Science, British University in Egypt (BUE), El Shorouk, Egypt","institution_ids":["https://openalex.org/I154023281"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069664483","display_name":"Wafaa Ibrahim","orcid":"https://orcid.org/0000-0001-7858-7057"},"institutions":[{"id":"https://openalex.org/I145487455","display_name":"Cairo University","ror":"https://ror.org/03q21mh05","country_code":"EG","type":"education","lineage":["https://openalex.org/I145487455"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Wafaa I. M. Ibrahim","raw_affiliation_strings":["Department of Statistics, Faculty of Economics and Political Science, Cairo University","Department of Statistics, Faculty of Economics and Political Science, Cairo University, Giza, Egypt"],"raw_orcid":"https://orcid.org/0000-0001-7858-7057","affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Economics and Political Science, Cairo University","institution_ids":["https://openalex.org/I145487455"]},{"raw_affiliation_string":"Department of Statistics, Faculty of Economics and Political Science, Cairo University, Giza, Egypt","institution_ids":["https://openalex.org/I145487455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5042542828"],"corresponding_institution_ids":["https://openalex.org/I154023281"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04512176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"54","issue":"8","first_page":"3084","last_page":"3095"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9987999796867371,"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":0.9987999796867371,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9979000091552734,"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/T10594","display_name":"Genetic and phenotypic traits in livestock","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.8713263273239136},{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.8230488300323486},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6710984706878662},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.5267454981803894},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5188078284263611},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49560844898223877},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4905526041984558},{"id":"https://openalex.org/keywords/longitudinal-data","display_name":"Longitudinal data","score":0.4890068769454956},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.48090291023254395},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.47342804074287415},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.44807225465774536},{"id":"https://openalex.org/keywords/selection-bias","display_name":"Selection bias","score":0.4375383257865906},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3480186462402344},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.24697452783584595},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1924504041671753},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08934736251831055}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.8713263273239136},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8230488300323486},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6710984706878662},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5267454981803894},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5188078284263611},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49560844898223877},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4905526041984558},{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.4890068769454956},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.48090291023254395},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.47342804074287415},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.44807225465774536},{"id":"https://openalex.org/C40423286","wikidata":"https://www.wikidata.org/wiki/Q284172","display_name":"Selection bias","level":2,"score":0.4375383257865906},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3480186462402344},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.24697452783584595},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1924504041671753},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08934736251831055},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2024.2333355","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2024.2333355","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1535196024","https://openalex.org/W1599483077","https://openalex.org/W1965236914","https://openalex.org/W1988619277","https://openalex.org/W1997799412","https://openalex.org/W2074682976","https://openalex.org/W2115190665","https://openalex.org/W2135046866","https://openalex.org/W2138019504","https://openalex.org/W2142635246","https://openalex.org/W2150227555","https://openalex.org/W2168175751","https://openalex.org/W2184463910","https://openalex.org/W2337648462","https://openalex.org/W2598232780","https://openalex.org/W2793185132","https://openalex.org/W2804967322","https://openalex.org/W2949417153","https://openalex.org/W2951982552","https://openalex.org/W2953604905","https://openalex.org/W3121191917","https://openalex.org/W3197494818","https://openalex.org/W4237374278","https://openalex.org/W4246048519","https://openalex.org/W4302338619","https://openalex.org/W4388319941"],"related_works":["https://openalex.org/W3032945164","https://openalex.org/W2057612738","https://openalex.org/W3023061746","https://openalex.org/W2187751129","https://openalex.org/W2168206775","https://openalex.org/W2901259384","https://openalex.org/W4310633471","https://openalex.org/W2112420322","https://openalex.org/W44636601","https://openalex.org/W2266771332"],"abstract_inverted_index":{"Longitudinal":[0,193],"studies":[1,19,30],"are":[2,49],"indispensable":[3],"to":[4,37,51,62,146,162,174],"study":[5,171],"the":[6,21,47,69,80,83,149,152,165,176,179,183,186,192],"change":[7],"over":[8],"time":[9],"in":[10,28,65,75,102,108,151],"a":[11,117],"response":[12],"variable.":[13],"The":[14,138],"main":[15],"challenge":[16,27],"of":[17,23,67,82,178,185],"such":[18,41],"is":[20,31,56,104,144,160,172,189],"presence":[22],"missing":[24,70,97,132],"values.":[25,71],"Another":[26],"these":[29],"that":[32,94,128],"covariates":[33,76,103,135],"may":[34,60],"be":[35],"subject":[36,50],"measurement":[38,52,73,100,136,167],"error.":[39,137,168],"In":[40,110],"studies,":[42],"variable":[43,119],"selection,":[44],"especially":[45],"if":[46,85],"data":[48,93,127],"error":[53,74,101],"and":[54,99,115,121,134,155],"missingness,":[55],"crucial.":[57],"Variable":[58,89],"selection":[59,90,120,157],"lead":[61],"biased":[63],"results":[64],"case":[66],"ignoring":[68],"Also,":[72,182],"can":[77],"negatively":[78],"affect":[79],"accuracy":[81],"estimates":[84],"not":[86,105],"treated":[87],"properly.":[88],"for":[91,125,148,164,196],"longitudinal":[92,126,153],"suffers":[95,129],"from":[96,130],"values":[98,133],"well":[106],"explored":[107],"literature.":[109],"this":[111],"article,":[112],"we":[113],"propose":[114],"develop":[116],"simultaneous":[118],"parameter":[122],"estimation":[123],"method":[124,188],"intermittent":[131],"penalized":[139],"weighted":[140],"generalized":[141],"estimating":[142],"equations":[143],"used":[145,161],"account":[147,163],"missingness":[150],"response,":[154],"simulation":[156,170],"extrapolation":[158],"techniques":[159],"covariate":[166],"A":[169],"conducted":[173],"assess":[175],"performance":[177],"proposed":[180,187],"method.":[181],"applicability":[184],"demonstrated":[190],"using":[191],"Internet":[194],"Studies":[195],"Social":[197],"sciences":[198],"data.":[199]},"counts_by_year":[],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-10-10T00:00:00"}
