{"id":"https://openalex.org/W1983453455","doi":"https://doi.org/10.1016/j.csda.2010.07.002","title":"A latent class selection model for nonignorably missing data","display_name":"A latent class selection model for nonignorably missing data","publication_year":2010,"publication_date":"2010-07-16","ids":{"openalex":"https://openalex.org/W1983453455","doi":"https://doi.org/10.1016/j.csda.2010.07.002","mag":"1983453455"},"language":"en","primary_location":{"id":"doi:10.1016/j.csda.2010.07.002","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.csda.2010.07.002","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics & Data Analysis","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/A5025671389","display_name":"Hyekyung Jung","orcid":null},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyekyung Jung","raw_affiliation_strings":["Department of Mathematics and Statistics, Texas Tech University, Broadway and Boston, Lubbock, TX 79409, USA","Department of Mathematics and Statistics, Texas Tech University, Broadway and Boston, Lubbock, TX 79409, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Texas Tech University, Broadway and Boston, Lubbock, TX 79409, USA","institution_ids":["https://openalex.org/I12315562"]},{"raw_affiliation_string":"Department of Mathematics and Statistics, Texas Tech University, Broadway and Boston, Lubbock, TX 79409, USA#TAB#","institution_ids":["https://openalex.org/I12315562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113922712","display_name":"Joseph L. Schafer","orcid":null},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joseph L. Schafer","raw_affiliation_strings":["Department of Statistics, Pennsylvania State University, 326 Thomas Building, University Park, PA 16802, USA","Department of Statistics, Pennsylvania State University, 326 Thomas building, University Park, PA 16802, USA"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Pennsylvania State University, 326 Thomas Building, University Park, PA 16802, USA","institution_ids":["https://openalex.org/I130769515"]},{"raw_affiliation_string":"Department of Statistics, Pennsylvania State University, 326 Thomas building, University Park, PA 16802, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019654388","display_name":"Byungtae Seo","orcid":"https://orcid.org/0000-0002-6548-6764"},"institutions":[{"id":"https://openalex.org/I12315562","display_name":"Texas Tech University","ror":"https://ror.org/0405mnx93","country_code":"US","type":"education","lineage":["https://openalex.org/I12315562"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Byungtae Seo","raw_affiliation_strings":["Department of Mathematics and Statistics, Texas Tech University, Broadway and Boston, Lubbock, TX 79409, USA","Department of Mathematics and Statistics, Texas Tech University, Broadway and Boston, Lubbock, TX 79409, USA#TAB#"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, Texas Tech University, Broadway and Boston, Lubbock, TX 79409, USA","institution_ids":["https://openalex.org/I12315562"]},{"raw_affiliation_string":"Department of Mathematics and Statistics, Texas Tech University, Broadway and Boston, Lubbock, TX 79409, USA#TAB#","institution_ids":["https://openalex.org/I12315562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019654388"],"corresponding_institution_ids":["https://openalex.org/I12315562"],"apc_list":{"value":3340,"currency":"USD","value_usd":3340},"apc_paid":null,"fwci":1.3965,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.84149515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"55","issue":"1","first_page":"802","last_page":"812"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994000196456909,"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"}},"topics":[{"id":"https://openalex.org/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.9994000196456909,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9988999962806702,"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/T10136","display_name":"Statistical Methods and Inference","score":0.996399998664856,"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/missing-data","display_name":"Missing data","score":0.9658303260803223},{"id":"https://openalex.org/keywords/covariate","display_name":"Covariate","score":0.7473358511924744},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.6209890842437744},{"id":"https://openalex.org/keywords/latent-class-model","display_name":"Latent class model","score":0.5594639778137207},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5339409708976746},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5297879576683044},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43204280734062195},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4255262017250061},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.41316404938697815},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4091576337814331},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4033609628677368},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.20149293541908264}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.9658303260803223},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.7473358511924744},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6209890842437744},{"id":"https://openalex.org/C70727504","wikidata":"https://www.wikidata.org/wiki/Q1806878","display_name":"Latent class model","level":2,"score":0.5594639778137207},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5339409708976746},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5297879576683044},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43204280734062195},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4255262017250061},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.41316404938697815},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4091576337814331},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4033609628677368},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20149293541908264}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.csda.2010.07.002","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.csda.2010.07.002","pdf_url":null,"source":{"id":"https://openalex.org/S132362803","display_name":"Computational Statistics & Data Analysis","issn_l":"0167-9473","issn":["0167-9473","1872-7352"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Statistics & Data Analysis","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:eee:csdana:v:55:y:2011:i:1:p:802-812","is_oa":false,"landing_page_url":"http://www.sciencedirect.com/science/article/pii/S0167-9473(10)00274-4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.47999998927116394,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":104,"referenced_works":["https://openalex.org/W26112474","https://openalex.org/W38009143","https://openalex.org/W138052739","https://openalex.org/W306662213","https://openalex.org/W575347202","https://openalex.org/W1037800416","https://openalex.org/W1537066827","https://openalex.org/W1544945218","https://openalex.org/W1550443206","https://openalex.org/W1592576206","https://openalex.org/W1941761140","https://openalex.org/W1973907010","https://openalex.org/W1974345349","https://openalex.org/W1974797206","https://openalex.org/W1979834538","https://openalex.org/W1981739204","https://openalex.org/W1981903823","https://openalex.org/W1987532423","https://openalex.org/W1989972396","https://openalex.org/W1995399522","https://openalex.org/W1995772131","https://openalex.org/W1997562978","https://openalex.org/W1998331851","https://openalex.org/W1998332407","https://openalex.org/W2000521158","https://openalex.org/W2004651358","https://openalex.org/W2004748399","https://openalex.org/W2004830756","https://openalex.org/W2005587766","https://openalex.org/W2006767884","https://openalex.org/W2008228753","https://openalex.org/W2008599619","https://openalex.org/W2009368860","https://openalex.org/W2010444825","https://openalex.org/W2011516621","https://openalex.org/W2011953530","https://openalex.org/W2012691534","https://openalex.org/W2013416277","https://openalex.org/W2018365137","https://openalex.org/W2018944012","https://openalex.org/W2019486793","https://openalex.org/W2020469756","https://openalex.org/W2020696122","https://openalex.org/W2020858487","https://openalex.org/W2026598211","https://openalex.org/W2029615513","https://openalex.org/W2038429130","https://openalex.org/W2038637022","https://openalex.org/W2040011853","https://openalex.org/W2044215181","https://openalex.org/W2044758663","https://openalex.org/W2044814316","https://openalex.org/W2045656233","https://openalex.org/W2049633694","https://openalex.org/W2050762021","https://openalex.org/W2054353235","https://openalex.org/W2056760934","https://openalex.org/W2064452544","https://openalex.org/W2066387895","https://openalex.org/W2067167239","https://openalex.org/W2068535411","https://openalex.org/W2069739265","https://openalex.org/W2070971982","https://openalex.org/W2072729931","https://openalex.org/W2075494932","https://openalex.org/W2078977693","https://openalex.org/W2079031515","https://openalex.org/W2087916280","https://openalex.org/W2093232920","https://openalex.org/W2100207280","https://openalex.org/W2100358124","https://openalex.org/W2106663330","https://openalex.org/W2115881827","https://openalex.org/W2116723563","https://openalex.org/W2117853077","https://openalex.org/W2121228033","https://openalex.org/W2123515805","https://openalex.org/W2131110515","https://openalex.org/W2133494987","https://openalex.org/W2139972977","https://openalex.org/W2155444869","https://openalex.org/W2156267802","https://openalex.org/W2156746747","https://openalex.org/W2159153490","https://openalex.org/W2161414087","https://openalex.org/W2166698530","https://openalex.org/W2168175751","https://openalex.org/W2168934042","https://openalex.org/W2284967628","https://openalex.org/W2326310612","https://openalex.org/W2479900256","https://openalex.org/W2506637906","https://openalex.org/W2526019368","https://openalex.org/W2531573091","https://openalex.org/W2554987453","https://openalex.org/W3125841640","https://openalex.org/W3146174752","https://openalex.org/W4229929111","https://openalex.org/W4232364354","https://openalex.org/W4232383088","https://openalex.org/W4232853737","https://openalex.org/W4237377395","https://openalex.org/W4248360182","https://openalex.org/W4300187280"],"related_works":["https://openalex.org/W2026599052","https://openalex.org/W1565287552","https://openalex.org/W2141506259","https://openalex.org/W1976495815","https://openalex.org/W1566436182","https://openalex.org/W1983453455","https://openalex.org/W2954641827","https://openalex.org/W2548022854","https://openalex.org/W2959459889","https://openalex.org/W2118634677"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":2}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}