{"id":"https://openalex.org/W4213385373","doi":"https://doi.org/10.1002/9781119632757.ch18","title":"Dealing with Missing Data","display_name":"Dealing with Missing Data","publication_year":2020,"publication_date":"2020-10-26","ids":{"openalex":"https://openalex.org/W4213385373","doi":"https://doi.org/10.1002/9781119632757.ch18"},"language":"en","primary_location":{"id":"doi:10.1002/9781119632757.ch18","doi":"https://doi.org/10.1002/9781119632757.ch18","is_oa":false,"landing_page_url":"https://doi.org/10.1002/9781119632757.ch18","pdf_url":null,"source":{"id":"https://openalex.org/S4306464293","display_name":"Wiley eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Big R\u2010Book","raw_type":"other"},"volume":{"id":"https://openalex.org/W4206084332","display_name":"The Big R\u2010Book"},"type":"book-chapter","is_traditional":true,"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/A5027118922","display_name":"Philippe De Brouwer","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Philippe De Brouwer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5027118922"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8041,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76935907,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"333","last_page":"342"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9980000257492065,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9980000257492065,"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/T13398","display_name":"Data Analysis with R","score":0.0003000000142492354,"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/T13141","display_name":"Statistical Methods and Applications","score":0.0003000000142492354,"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":0.9950000047683716},{"id":"https://openalex.org/keywords/missing-at-random","display_name":"missing at random","score":0.8930000066757202},{"id":"https://openalex.org/keywords/predictive-mean-matching","display_name":"predictive mean matching","score":0.7570000290870667},{"id":"https://openalex.org/keywords/multiple-imputation","display_name":"multiple imputation","score":0.7950000166893005},{"id":"https://openalex.org/keywords/chained-equations","display_name":"chained equations","score":0.8379999995231628},{"id":"https://openalex.org/keywords/imputation-models","display_name":"imputation models","score":0.6359999775886536}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.9649712443351746},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8774893283843994},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5062364935874939},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4372374713420868},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.42260539531707764},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.35022279620170593},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26458263397216797},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1748543083667755}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/9781119632757.ch18","doi":"https://doi.org/10.1002/9781119632757.ch18","is_oa":false,"landing_page_url":"https://doi.org/10.1002/9781119632757.ch18","pdf_url":null,"source":{"id":"https://openalex.org/S4306464293","display_name":"Wiley eBooks","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"ebook platform"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Big R\u2010Book","raw_type":"other"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4383820514","https://openalex.org/W4402712685","https://openalex.org/W3203584529","https://openalex.org/W1585875749","https://openalex.org/W4379376327","https://openalex.org/W4409948992","https://openalex.org/W2611156712","https://openalex.org/W4280644562","https://openalex.org/W4224278271","https://openalex.org/W7095344194"],"abstract_inverted_index":{"Most":[0],"datasets":[1],"will":[2,9,27],"have":[3],"missing":[4,7,20,25,39,89,99],"values,":[5],"and":[6,72],"values":[8],"make":[10],"any":[11],"modelling":[12],"a":[13,106,120],"lot":[14],"more":[15],"complicated.":[16],"If":[17,41,96],"data":[18,42,90,97,118],"is":[19,43,46,53,61,98,105],"at":[21,100],"random,":[22,101],"leaving":[23],"out":[24,56],"observations":[26],"not":[28],"harm":[29],"the":[30,75,83,102],"model.":[31],"This":[32],"chapter":[33,79],"helps":[34],"to":[35,87,109],"deal":[36],"with":[37],"those":[38],"values.":[40],"missing,":[44],"there":[45],"usually":[47],"an":[48,127],"identifiable":[49],"reason":[50,59],"why":[51],"this":[52],"so.":[54],"Finding":[55],"what":[57],"that":[58],"is,":[60],"most":[62,84],"important,":[63],"because":[64],"it":[65],"can":[66],"indicate":[67],"fraud,":[68],"or":[69],"be":[70],"systematic,":[71],"hence":[73],"influence":[74],"model":[76,129],"itself.":[77],"The":[78],"presents":[80],"some":[81],"of":[82],"used":[85],"methods":[86],"handle":[88],"such":[91],"as":[92],"Predictive":[93],"Mean":[94],"Matching.":[95],"package":[103],"mice2":[104],"great":[107],"way":[108],"start.":[110],"Multivariate":[111],"imputation":[112,128],"via":[113],"chained":[114],"equations":[115],"(mice)":[116],"imputes":[117],"on":[119],"variable":[121,123],"by":[122,125],"basis":[124],"specifying":[126],"per":[130],"variable.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-02-24T00:00:00"}
