{"id":"https://openalex.org/W1974017199","doi":"https://doi.org/10.1016/s0167-9473(03)00033-1","title":"Comparison of hierarchical and marginal likelihood estimators for binary outcomes","display_name":"Comparison of hierarchical and marginal likelihood estimators for binary outcomes","publication_year":2003,"publication_date":"2003-05-12","ids":{"openalex":"https://openalex.org/W1974017199","doi":"https://doi.org/10.1016/s0167-9473(03)00033-1","mag":"1974017199"},"language":"en","primary_location":{"id":"doi:10.1016/s0167-9473(03)00033-1","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-9473(03)00033-1","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/A5014852642","display_name":"Sung\u2010Cheol Yun","orcid":"https://orcid.org/0000-0001-8503-109X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sungcheol Yun","raw_affiliation_strings":["Department of Statistics, Seoul National University Statistics, Seoul 151-742, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University Statistics, Seoul 151-742, South Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014132188","display_name":"Youngjo Lee","orcid":"https://orcid.org/0000-0001-9820-6434"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Youngjo Lee","raw_affiliation_strings":["Department of Statistics, Seoul National University Statistics, Seoul 151-742, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Seoul National University Statistics, Seoul 151-742, South Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5014132188"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":{"value":3340,"currency":"USD","value_usd":3340},"apc_paid":null,"fwci":1.7694,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.84141572,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"45","issue":"3","first_page":"639","last_page":"650"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9968000054359436,"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"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9968000054359436,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9945999979972839,"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/T11229","display_name":"Genetics and Plant Breeding","score":0.9901999831199646,"subfield":{"id":"https://openalex.org/subfields/1110","display_name":"Plant Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.653759241104126},{"id":"https://openalex.org/keywords/marginal-likelihood","display_name":"Marginal likelihood","score":0.650661289691925},{"id":"https://openalex.org/keywords/binary-data","display_name":"Binary data","score":0.6453394889831543},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.530962347984314},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.528583288192749},{"id":"https://openalex.org/keywords/bivariate-analysis","display_name":"Bivariate analysis","score":0.5002493858337402},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4889777898788452},{"id":"https://openalex.org/keywords/marginal-model","display_name":"Marginal model","score":0.476820170879364},{"id":"https://openalex.org/keywords/random-effects-model","display_name":"Random effects model","score":0.4733291268348694},{"id":"https://openalex.org/keywords/quadrature","display_name":"Quadrature (astronomy)","score":0.460866779088974},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41637110710144043},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4137412905693054},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.2761017084121704},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.11353462934494019}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.653759241104126},{"id":"https://openalex.org/C95923904","wikidata":"https://www.wikidata.org/wiki/Q6760420","display_name":"Marginal likelihood","level":3,"score":0.650661289691925},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.6453394889831543},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.530962347984314},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.528583288192749},{"id":"https://openalex.org/C64341305","wikidata":"https://www.wikidata.org/wiki/Q4919225","display_name":"Bivariate analysis","level":2,"score":0.5002493858337402},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4889777898788452},{"id":"https://openalex.org/C197656967","wikidata":"https://www.wikidata.org/wiki/Q17058458","display_name":"Marginal model","level":3,"score":0.476820170879364},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.4733291268348694},{"id":"https://openalex.org/C62869609","wikidata":"https://www.wikidata.org/wiki/Q28137","display_name":"Quadrature (astronomy)","level":2,"score":0.460866779088974},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41637110710144043},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4137412905693054},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.2761017084121704},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.11353462934494019},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/s0167-9473(03)00033-1","is_oa":false,"landing_page_url":"https://doi.org/10.1016/s0167-9473(03)00033-1","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:45:y:2004:i:3:p:639-650","is_oa":false,"landing_page_url":"http://www.sciencedirect.com/science/article/pii/S0167-9473(03)00033-1","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1959492","https://openalex.org/W166888073","https://openalex.org/W175315880","https://openalex.org/W987144911","https://openalex.org/W1490229695","https://openalex.org/W1550373540","https://openalex.org/W1989474424","https://openalex.org/W1997318672","https://openalex.org/W1999525508","https://openalex.org/W2007162267","https://openalex.org/W2014581807","https://openalex.org/W2024085858","https://openalex.org/W2059191087","https://openalex.org/W2062978862","https://openalex.org/W2077192207","https://openalex.org/W2081390560","https://openalex.org/W2090692107","https://openalex.org/W2093651810","https://openalex.org/W2094944276","https://openalex.org/W2112440119","https://openalex.org/W2117180217","https://openalex.org/W2142809250","https://openalex.org/W2148578256","https://openalex.org/W2158197616","https://openalex.org/W2331034993","https://openalex.org/W2461735667","https://openalex.org/W4231108066","https://openalex.org/W4231624836","https://openalex.org/W4236649012","https://openalex.org/W4237032073","https://openalex.org/W4237152466","https://openalex.org/W4244611409","https://openalex.org/W4247630098","https://openalex.org/W4285719527","https://openalex.org/W6600093841","https://openalex.org/W6606797773","https://openalex.org/W6625791772","https://openalex.org/W6649155839"],"related_works":["https://openalex.org/W2013050289","https://openalex.org/W2356093187","https://openalex.org/W1486161308","https://openalex.org/W1988762468","https://openalex.org/W1578232582","https://openalex.org/W2552724960","https://openalex.org/W2238832635","https://openalex.org/W2029379319","https://openalex.org/W3033031635","https://openalex.org/W2972127226"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}