{"id":"https://openalex.org/W2291289645","doi":"https://doi.org/10.1080/03610918.2015.1076470","title":"Residual plots for linear regression models with censored outcome data: A refined method for visualizing residual uncertainty","display_name":"Residual plots for linear regression models with censored outcome data: A refined method for visualizing residual uncertainty","publication_year":2015,"publication_date":"2015-12-15","ids":{"openalex":"https://openalex.org/W2291289645","doi":"https://doi.org/10.1080/03610918.2015.1076470","mag":"2291289645","pmid":"https://pubmed.ncbi.nlm.nih.gov/37324046"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2015.1076470","is_oa":true,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1076470","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/03610918.2015.1076470?needAccess=true","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/03610918.2015.1076470?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042998672","display_name":"Martin Law","orcid":"https://orcid.org/0000-0001-9594-348X"},"institutions":[{"id":"https://openalex.org/I4210134973","display_name":"MRC Biostatistics Unit","ror":"https://ror.org/046vje122","country_code":"GB","type":"facility","lineage":["https://openalex.org/I241749","https://openalex.org/I4210087105","https://openalex.org/I4210134973","https://openalex.org/I90344618"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Martin Law","raw_affiliation_strings":["MRC Biostatistics Unit, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MRC Biostatistics Unit, Cambridge, UK","institution_ids":["https://openalex.org/I4210134973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043222919","display_name":"Dan Jackson","orcid":"https://orcid.org/0000-0002-4963-8123"},"institutions":[{"id":"https://openalex.org/I4210134973","display_name":"MRC Biostatistics Unit","ror":"https://ror.org/046vje122","country_code":"GB","type":"facility","lineage":["https://openalex.org/I241749","https://openalex.org/I4210087105","https://openalex.org/I4210134973","https://openalex.org/I90344618"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Dan Jackson","raw_affiliation_strings":["MRC Biostatistics Unit, Cambridge, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MRC Biostatistics Unit, Cambridge, UK","institution_ids":["https://openalex.org/I4210134973"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5042998672"],"corresponding_institution_ids":["https://openalex.org/I4210134973"],"apc_list":null,"apc_paid":null,"fwci":0.6352,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.74533848,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"46","issue":"4","first_page":"3159","last_page":"3171"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9801999926567078,"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":0.9801999926567078,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9273999929428101,"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/T11186","display_name":"Hydrology and Drought Analysis","score":0.9203000068664551,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.8740510940551758},{"id":"https://openalex.org/keywords/censoring","display_name":"Censoring (clinical trials)","score":0.8000703454017639},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5976737141609192},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.5649514198303223},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5166826248168945},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.4701789915561676},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.469585120677948},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4639458656311035},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3770381212234497},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.33323830366134644},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3195861577987671},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12665924429893494}],"concepts":[{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.8740510940551758},{"id":"https://openalex.org/C137668524","wikidata":"https://www.wikidata.org/wiki/Q189813","display_name":"Censoring (clinical trials)","level":2,"score":0.8000703454017639},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5976737141609192},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.5649514198303223},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5166826248168945},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.4701789915561676},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.469585120677948},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4639458656311035},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3770381212234497},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.33323830366134644},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3195861577987671},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12665924429893494},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0}],"mesh":[],"locations_count":7,"locations":[{"id":"doi:10.1080/03610918.2015.1076470","is_oa":true,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1076470","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/03610918.2015.1076470?needAccess=true","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},{"id":"pmid:37324046","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37324046","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in statistics: Simulation and computation","raw_type":null},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/350722","is_oa":true,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/350722","pdf_url":"https://www.repository.cam.ac.uk/bitstreams/c9493560-5d45-4587-bc51-b18af422ebf9/download","source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"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"},{"id":"pmh:doi:10.6084/m9.figshare.1623195","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Journal contribution"},{"id":"pmh:oai:figshare.com:article/1623195","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Residual_Plots_for_Linear_Regression_Models_with_Censored_Outcome_Data_A_Refined_Method_for_Visualising_Residual_Uncertainty/1623195","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:7614636","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7614636","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Commun Stat Simul Comput","raw_type":"Text"},{"id":"doi:10.6084/m9.figshare.1623195.v2","is_oa":true,"landing_page_url":"https://doi.org/10.6084/m9.figshare.1623195.v2","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.1080/03610918.2015.1076470","is_oa":true,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1076470","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/03610918.2015.1076470?needAccess=true","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[{"id":"https://openalex.org/G8431821610","display_name":"INNOVATIVE USE OF ANTIBIOTICS IN THE PREVENTION OF EXACERBATIONS OF CHRONIC OBSTRUCTIVE PULMONARY DISEASE (COPD)","funder_award_id":"RP-PG-0109-10056","funder_id":"https://openalex.org/F4320319990","funder_display_name":"National Institute for Health and Care Research"}],"funders":[{"id":"https://openalex.org/F4320319990","display_name":"National Institute for Health and Care Research","ror":"https://ror.org/0187kwz08"},{"id":"https://openalex.org/F4320320283","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W2291289645.pdf"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W573849129","https://openalex.org/W589434286","https://openalex.org/W1483455772","https://openalex.org/W1568578988","https://openalex.org/W1919480245","https://openalex.org/W1965268674","https://openalex.org/W1979300931","https://openalex.org/W2001994823","https://openalex.org/W2034562813","https://openalex.org/W2035666010","https://openalex.org/W2048564244","https://openalex.org/W2050505692","https://openalex.org/W2083972068","https://openalex.org/W2094856513","https://openalex.org/W2118502261","https://openalex.org/W2134843796","https://openalex.org/W2145147745","https://openalex.org/W2148355461","https://openalex.org/W2172046332","https://openalex.org/W2582743722","https://openalex.org/W2905062728","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1971606787","https://openalex.org/W4290879003","https://openalex.org/W2166071402","https://openalex.org/W2375721435","https://openalex.org/W2738033194","https://openalex.org/W2062105804","https://openalex.org/W3122861356","https://openalex.org/W3021457118","https://openalex.org/W2018697919","https://openalex.org/W247449116"],"abstract_inverted_index":{"Residual":[0],"plots":[1,18,31],"are":[2,14,44],"a":[3,25,71,93],"standard":[4,16],"tool":[5],"for":[6,28,32,50,63,73],"assessing":[7],"model":[8,61],"fit.":[9],"When":[10],"some":[11,37],"outcome":[12,42,89],"data":[13,43,69,90],"censored,":[15],"residual":[17,30],"become":[19],"less":[20],"appropriate.":[21],"Here,":[22],"we":[23],"develop":[24],"new":[26],"procedure":[27],"producing":[29],"linear":[33],"regression":[34],"models":[35],"where":[36],"or":[38],"all":[39],"of":[40,66,92,95,97],"the":[41,60,82,88],"censored.":[45],"We":[46,54],"implement":[47],"two":[48],"approaches":[49],"incorporating":[51],"parameter":[52],"uncertainty.":[53],"illustrate":[55],"our":[56],"methodology":[57],"by":[58],"examining":[59],"fit":[62],"an":[64],"analysis":[65],"bacterial":[67],"load":[68],"from":[70],"trial":[72],"chronic":[74],"obstructive":[75],"pulmonary":[76],"disease.":[77],"Simulated":[78],"datasets":[79],"show":[80],"that":[81],"method":[83],"can":[84],"be":[85],"used":[86],"when":[87],"consist":[91],"variety":[94],"types":[96],"censoring.":[98]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
