{"id":"https://openalex.org/W2775714479","doi":"https://doi.org/10.1080/03610918.2017.1400561","title":"A Monte Carlo study of REML and robust rank-based analyses for the random intercept mixed model","display_name":"A Monte Carlo study of REML and robust rank-based analyses for the random intercept mixed model","publication_year":2017,"publication_date":"2017-12-15","ids":{"openalex":"https://openalex.org/W2775714479","doi":"https://doi.org/10.1080/03610918.2017.1400561","mag":"2775714479"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2017.1400561","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1400561","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/A5065649715","display_name":"Hend Auda","orcid":"https://orcid.org/0000-0003-2327-4752"},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Hend A. Auda","raw_affiliation_strings":["Department of Commerce and Statistics, Helwan University, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Commerce and Statistics, Helwan University, Cairo, Egypt","institution_ids":["https://openalex.org/I84058292"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082955736","display_name":"Joseph W. McKean","orcid":"https://orcid.org/0000-0003-1778-5564"},"institutions":[{"id":"https://openalex.org/I141649380","display_name":"Western Michigan University","ror":"https://ror.org/04j198w64","country_code":"US","type":"education","lineage":["https://openalex.org/I141649380"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joseph W. McKean","raw_affiliation_strings":["Department of Statistics, Western Michigan University, Kalamazoo, MI"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Western Michigan University, Kalamazoo, MI","institution_ids":["https://openalex.org/I141649380"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089540474","display_name":"John Kloke","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John D. Kloke","raw_affiliation_strings":["Department of Biostatistics, University of Wisconsin, Madison, WI"],"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, University of Wisconsin, Madison, WI","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049838619","display_name":"Mahmoud Sadek","orcid":null},"institutions":[{"id":"https://openalex.org/I84058292","display_name":"Helwan University","ror":"https://ror.org/00h55v928","country_code":"EG","type":"education","lineage":["https://openalex.org/I84058292"]}],"countries":["EG"],"is_corresponding":false,"raw_author_name":"Mahmoud Sadek","raw_affiliation_strings":["Department of Commerce and Statistics, Helwan University, Cairo, Egypt"],"affiliations":[{"raw_affiliation_string":"Department of Commerce and Statistics, Helwan University, Cairo, Egypt","institution_ids":["https://openalex.org/I84058292"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5082955736"],"corresponding_institution_ids":["https://openalex.org/I141649380"],"apc_list":null,"apc_paid":null,"fwci":0.4664,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70074722,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"48","issue":"3","first_page":"837","last_page":"860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9973000288009644,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9973000288009644,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9943000078201294,"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":0.9919000267982483,"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/restricted-maximum-likelihood","display_name":"Restricted maximum likelihood","score":0.9189447164535522},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.6920177340507507},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6805450916290283},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6276100277900696},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5836032032966614},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.5496989488601685},{"id":"https://openalex.org/keywords/mixed-model","display_name":"Mixed model","score":0.5474486947059631},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.478920578956604},{"id":"https://openalex.org/keywords/random-effects-model","display_name":"Random effects model","score":0.4685443639755249},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.46476349234580994},{"id":"https://openalex.org/keywords/maximum-likelihood","display_name":"Maximum likelihood","score":0.4496118724346161},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.4293139576911926},{"id":"https://openalex.org/keywords/generalized-linear-mixed-model","display_name":"Generalized linear mixed model","score":0.41953369975090027}],"concepts":[{"id":"https://openalex.org/C61420037","wikidata":"https://www.wikidata.org/wiki/Q7316301","display_name":"Restricted maximum likelihood","level":3,"score":0.9189447164535522},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.6920177340507507},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6805450916290283},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6276100277900696},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5836032032966614},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.5496989488601685},{"id":"https://openalex.org/C16012445","wikidata":"https://www.wikidata.org/wiki/Q1501135","display_name":"Mixed model","level":2,"score":0.5474486947059631},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.478920578956604},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.4685443639755249},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.46476349234580994},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.4496118724346161},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.4293139576911926},{"id":"https://openalex.org/C153720581","wikidata":"https://www.wikidata.org/wiki/Q5532490","display_name":"Generalized linear mixed model","level":2,"score":0.41953369975090027},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","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},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2017.1400561","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1400561","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":13,"referenced_works":["https://openalex.org/W6874264","https://openalex.org/W1587094587","https://openalex.org/W1974913906","https://openalex.org/W1981591026","https://openalex.org/W2000084758","https://openalex.org/W2002300022","https://openalex.org/W2021142183","https://openalex.org/W2030296667","https://openalex.org/W2042952044","https://openalex.org/W2159899934","https://openalex.org/W2318874453","https://openalex.org/W2493576690","https://openalex.org/W2596360981"],"related_works":["https://openalex.org/W4243231361","https://openalex.org/W4239710992","https://openalex.org/W2895736713","https://openalex.org/W1551599973","https://openalex.org/W2082190293","https://openalex.org/W1516288603","https://openalex.org/W4289422681","https://openalex.org/W2021312236","https://openalex.org/W2500362368","https://openalex.org/W2153999622"],"abstract_inverted_index":{"Restricted":[0],"maximum":[1],"likelihood":[2],"(REML)":[3],"methods":[4],"are":[5,20,55,74],"traditionally":[6],"used":[7],"for":[8,61,92],"analyzing":[9],"mixed":[10,34],"models.":[11],"Based":[12],"on":[13],"a":[14,30,50],"multivariate":[15,65],"normal":[16,66,69,93],"likelihood,":[17],"these":[18,58],"analyses":[19,60,73,83],"sensitive":[21],"to":[22],"outliers.":[23],"Recently":[24],"developed":[25],"robust":[26],"rank-based":[27,72],"procedures":[28],"offer":[29],"complete":[31],"analysis":[32],"of":[33,37,44,49],"model:":[35],"estimation":[36,43],"fixed":[38],"effects,":[39],"standard":[40],"errors,":[41],"and":[42,67,78],"variance":[45],"components.":[46],"The":[47,71],"results":[48],"large":[51],"Monte":[52],"Carlo":[53],"study":[54],"presented,":[56],"comparing":[57],"two":[59],"many":[62],"situations":[63],"over":[64,84],"contaminated":[68],"distributions.":[70],"much":[75],"more":[76],"powerful":[77],"efficient":[79],"than":[80],"the":[81],"REML":[82],"all":[85],"non-normal":[86],"situations,":[87],"while":[88],"losing":[89],"little":[90],"power":[91],"errors.":[94]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}