{"id":"https://openalex.org/W4298330499","doi":"https://doi.org/10.17615/vqyh-kp23","title":"Comments on: Missing data methods in longitudinal studies: a review","display_name":"Comments on: Missing data methods in longitudinal studies: a review","publication_year":2021,"publication_date":"2021-01-14","ids":{"openalex":"https://openalex.org/W4298330499","doi":"https://doi.org/10.17615/vqyh-kp23"},"language":"en","primary_location":{"id":"pmh:cdr.lib.unc.edu:6q182v036","doi":null,"is_oa":true,"landing_page_url":"https://doi.org/10.17615/vqyh-kp23","pdf_url":"https://cdr.lib.unc.edu/downloads/x633f840x","source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Test, 18(1)","raw_type":"Article"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://cdr.lib.unc.edu/downloads/x633f840x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040115712","display_name":"Geert Molenberghs","orcid":"https://orcid.org/0000-0002-6453-5448","observed_orcids":["https://orcid.org/0000-0002-6453-5448","https://orcid.org/0000-0001-8430-7576"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Molenberghs, Geert","raw_affiliation_strings":["Gillings School of Global Public Health, Department of Biostatistics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gillings School of Global Public Health, Department of Biostatistics","institution_ids":["https://openalex.org/I114027177"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078399867","display_name":"Joseph G. Ibrahim","orcid":"https://orcid.org/0000-0003-2428-6552","observed_orcids":["https://orcid.org/0000-0003-2428-6552"]},"institutions":[{"id":"https://openalex.org/I114027177","display_name":"University of North Carolina at Chapel Hill","ror":"https://ror.org/0130frc33","country_code":"US","type":"education","lineage":["https://openalex.org/I114027177"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ibrahim, Joseph","raw_affiliation_strings":["University of North Carolina at Chapel Hill"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Chapel Hill","institution_ids":["https://openalex.org/I114027177"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I114027177"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27341087,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"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":1.0,"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":1.0,"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":0.0,"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":0.0,"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":0.9800000190734863},{"id":"https://openalex.org/keywords/longitudinal-study","display_name":"longitudinal study","score":0.8550000190734863},{"id":"https://openalex.org/keywords/missing-data-mechanisms","display_name":"missing data mechanisms","score":0.8949999809265137},{"id":"https://openalex.org/keywords/missing-data-patterns","display_name":"missing data patterns","score":0.949999988079071},{"id":"https://openalex.org/keywords/sensitivity-analysis","display_name":"sensitivity analysis","score":0.9580000042915344},{"id":"https://openalex.org/keywords/childhood-obesity","display_name":"childhood obesity","score":0.7829999923706055}],"concepts":[{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.6410278677940369},{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.6073204874992371},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4274238049983978},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.376969575881958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.288285493850708},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23527273535728455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18962055444717407},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1751326620578766}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:cdr.lib.unc.edu:6q182v036","doi":null,"is_oa":true,"landing_page_url":"https://doi.org/10.17615/vqyh-kp23","pdf_url":"https://cdr.lib.unc.edu/downloads/x633f840x","source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Test, 18(1)","raw_type":"Article"},{"id":"doi:10.17615/vqyh-kp23","doi":"https://doi.org/10.17615/vqyh-kp23","is_oa":true,"landing_page_url":"https://doi.org/10.17615/vqyh-kp23","pdf_url":null,"source":{"id":"https://openalex.org/S7407051488","display_name":"UNC Libraries","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:cdr.lib.unc.edu:6q182v036","doi":null,"is_oa":true,"landing_page_url":"https://doi.org/10.17615/vqyh-kp23","pdf_url":"https://cdr.lib.unc.edu/downloads/x633f840x","source":{"id":"https://openalex.org/S4306401075","display_name":"Carolina Digital Repository (University of North Carolina at Chapel Hill)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I114027177","host_organization_name":"University of North Carolina at Chapel Hill","host_organization_lineage":["https://openalex.org/I114027177"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Test, 18(1)","raw_type":"Article"},"sustainable_development_goals":[{"score":0.6240000128746033,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4298330499.pdf","grobid_xml":"https://content.openalex.org/works/W4298330499.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2059180350","https://openalex.org/W1501350538","https://openalex.org/W4235111205","https://openalex.org/W2024637850","https://openalex.org/W2102343163","https://openalex.org/W4230260814","https://openalex.org/W4388135665","https://openalex.org/W2056863438","https://openalex.org/W2186625647","https://openalex.org/W2804243043"],"abstract_inverted_index":{"Incomplete":[0],"data":[1,65,115],"are":[2,78,97],"quite":[3],"common":[4],"in":[5,13,29,80],"biomedical":[6],"and":[7,47,68,73],"other":[8,52],"types":[9],"of":[10,24,43,57,61,84,104],"research,":[11],"especially":[12],"longitudinal":[14],"studies.":[15],"During":[16],"the":[17,30,36,51,111,117],"last":[18],"three":[19],"decades,":[20],"a":[21,40,55],"vast":[22],"amount":[23],"work":[25],"has":[26,33],"been":[27],"done":[28],"area.":[31],"This":[32],"led,":[34],"on":[35,50],"one":[37,101,113],"hand,":[38,53],"to":[39,54],"rich":[41],"taxonomy":[42,62],"missing-data":[44],"concepts,":[45],"issues,":[46],"methods":[48],"and,":[49],"variety":[56,83],"data-analytic":[58],"tools.":[59],"Elements":[60],"include:":[63],"missing":[64],"patterns,":[66],"mechanisms,":[67],"modeling":[69,86],"frameworks;":[70],"inferential":[71],"paradigms;":[72],"sensitivity":[74],"analysis":[75],"frameworks.":[76],"These":[77],"described":[79],"detail.":[81],"A":[82],"concrete":[85],"devices":[87],"is":[88],"presented.":[89],"To":[90],"make":[91],"matters":[92],"concrete,":[93],"two":[94],"case":[95],"studies":[96],"considered.":[98],"The":[99],"first":[100],"concerns":[102],"quality":[103],"life":[105],"among":[106],"breast":[107],"cancer":[108],"patients,":[109],"while":[110],"second":[112],"examines":[114],"from":[116],"Muscatine":[118],"children\u2019s":[119],"obesity":[120],"study.":[121]},"counts_by_year":[],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2022-10-02T00:00:00"}