{"id":"https://openalex.org/W2124166200","doi":"https://doi.org/10.4172/2329-9533.1000e101","title":"Missing Data: A Non-ignorable Issue in Modern Biostatistics","display_name":"Missing Data: A Non-ignorable Issue in Modern Biostatistics","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2124166200","doi":"https://doi.org/10.4172/2329-9533.1000e101","mag":"2124166200"},"language":"en","primary_location":{"id":"doi:10.4172/2329-9533.1000e101","doi":"https://doi.org/10.4172/2329-9533.1000e101","is_oa":false,"landing_page_url":"https://doi.org/10.4172/2329-9533.1000e101","pdf_url":null,"source":{"id":"https://openalex.org/S4210228281","display_name":"Journal of Applied Bioinformatics & Computational Biology","issn_l":"2329-9533","issn":["2329-9533"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310320466","host_organization_name":"OMICS Publishing Group","host_organization_lineage":["https://openalex.org/P4310320466"],"host_organization_lineage_names":["OMICS Publishing Group"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Applied Bioinformatics & Computational Biology","raw_type":"journal-article"},"volume":null,"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/A5049552415","display_name":"Baojiang Chen","orcid":"https://orcid.org/0000-0002-9683-9390","observed_orcids":["https://orcid.org/0000-0002-9683-9390"]},"institutions":[{"id":"https://openalex.org/I59130452","display_name":"University of Nebraska Medical Center","ror":"https://ror.org/00thqtb16","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I59130452"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Baojiang Chen","raw_affiliation_strings":["[University of Nebraska Medical Center]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[University of Nebraska Medical Center]","institution_ids":["https://openalex.org/I59130452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004840216","display_name":"Kendra K. Schmid","orcid":"https://orcid.org/0000-0002-6816-4920","observed_orcids":["https://orcid.org/0000-0002-6816-4920"]},"institutions":[{"id":"https://openalex.org/I59130452","display_name":"University of Nebraska Medical Center","ror":"https://ror.org/00thqtb16","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I59130452"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kendra K Schmid","raw_affiliation_strings":["[University of Nebraska Medical Center]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"[University of Nebraska Medical Center]","institution_ids":["https://openalex.org/I59130452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049552415"],"corresponding_institution_ids":["https://openalex.org/I59130452"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.00245787,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"01","issue":"01","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9970999956130981,"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":0.9970999956130981,"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/T14374","display_name":"Statistical Methods in Epidemiology","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/T11235","display_name":"Statistical Methods in Clinical Trials","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":0.9990000128746033},{"id":"https://openalex.org/keywords/missing-at-random","display_name":"missing at random","score":0.8410000205039978},{"id":"https://openalex.org/keywords/missing-not-at-random","display_name":"missing not at random","score":0.9990000128746033},{"id":"https://openalex.org/keywords/complete-case-analysis","display_name":"complete case analysis","score":0.8579999804496765},{"id":"https://openalex.org/keywords/risk-factors","display_name":"risk factors","score":0.6539999842643738},{"id":"https://openalex.org/keywords/incomplete-data-analysis","display_name":"incomplete data analysis","score":0.4390000104904175}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.9104324579238892},{"id":"https://openalex.org/C140556311","wikidata":"https://www.wikidata.org/wiki/Q214746","display_name":"Biostatistics","level":3,"score":0.886638879776001},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.6707622408866882},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48255985975265503},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4264529347419739},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.40673863887786865},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3771575093269348},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3232395052909851},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21553483605384827},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14933499693870544},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10262289643287659},{"id":"https://openalex.org/C107130276","wikidata":"https://www.wikidata.org/wiki/Q133805","display_name":"Epidemiology","level":2,"score":0.08009207248687744},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4172/2329-9533.1000e101","doi":"https://doi.org/10.4172/2329-9533.1000e101","is_oa":false,"landing_page_url":"https://doi.org/10.4172/2329-9533.1000e101","pdf_url":null,"source":{"id":"https://openalex.org/S4210228281","display_name":"Journal of Applied Bioinformatics & Computational Biology","issn_l":"2329-9533","issn":["2329-9533"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":"https://openalex.org/P4310320466","host_organization_name":"OMICS Publishing Group","host_organization_lineage":["https://openalex.org/P4310320466"],"host_organization_lineage_names":["OMICS Publishing Group"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Applied Bioinformatics & Computational Biology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1984683132","https://openalex.org/W1990328291","https://openalex.org/W2017152663","https://openalex.org/W2032234757","https://openalex.org/W2044758663","https://openalex.org/W2097147565","https://openalex.org/W2103694411","https://openalex.org/W2118502261","https://openalex.org/W2150615468","https://openalex.org/W2462646876"],"related_works":["https://openalex.org/W2950538088","https://openalex.org/W4252444875","https://openalex.org/W2890691716","https://openalex.org/W1580366977","https://openalex.org/W1929777505","https://openalex.org/W2924019236","https://openalex.org/W270636818","https://openalex.org/W3007680776","https://openalex.org/W4383820082","https://openalex.org/W4247827389"],"abstract_inverted_index":{"Missing":[0,8,36,41],"Data:":[1],"A":[2],"Non-ignorable":[3],"Issue":[4],"in":[5,14,51],"Modern":[6],"Biostatistics":[7],"data":[9,34,57,63,90],"is":[10,86],"a":[11],"common":[12],"feature":[13],"modern":[15],"biostatistics.":[16],"For":[17],"most":[18],"cases,":[19],"the":[20,52,59,67,72,89],"easily":[21],"implemented":[22],"method":[23],"such":[24],"as":[25],"complete":[26],"case":[27],"analysis":[28],"will":[29],"yield":[30],"biased":[31],"conclusions":[32],"if":[33],"are":[35,64,93],"At":[37,43],"Random":[38,44],"(MAR)":[39],"or":[40,74,77],"Not":[42],"(MNAR).":[45],"The":[46],"vast":[47],"majority":[48],"of":[49],"articles":[50],"literature":[53],"dealing":[54],"with":[55],"incomplete":[56,70],"make":[58],"unrealistic":[60],"assumption":[61],"that":[62,81],"available":[65],"for":[66,71],"response":[68,92],"but":[69,88],"covariates":[73],"risk":[75,84],"factors,":[76],"alternatively,":[78],"they":[79],"assume":[80],"information":[82],"on":[83,91],"factors":[85],"complete,":[87],"incomplete.":[94]},"counts_by_year":[{"year":2013,"cited_by_count":4}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2016-06-24T00:00:00"}