{"id":"https://openalex.org/W2557779145","doi":"https://doi.org/10.1353/obs.2015.0005","title":"The non-zero mean SIMEX: Improving estimation in the face of measurement error","display_name":"The non-zero mean SIMEX: Improving estimation in the face of measurement error","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2557779145","doi":"https://doi.org/10.1353/obs.2015.0005","mag":"2557779145"},"language":"en","primary_location":{"id":"doi:10.1353/obs.2015.0005","doi":"https://doi.org/10.1353/obs.2015.0005","is_oa":true,"landing_page_url":"https://doi.org/10.1353/obs.2015.0005","pdf_url":"https://doi.org/10.1353/obs.2015.0005","source":{"id":"https://openalex.org/S4210233578","display_name":"Observational Studies","issn_l":"2767-3324","issn":["2767-3324"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1","poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Observational Studies","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1353/obs.2015.0005","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029372662","display_name":"Nabila Parveen","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Nabila Parveen","raw_affiliation_strings":["Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048550846","display_name":"Erica E. M. Moodie","orcid":"https://orcid.org/0000-0002-7225-3977","observed_orcids":["https://orcid.org/0000-0002-7225-3977"]},"institutions":[{"id":"https://openalex.org/I5023651","display_name":"McGill University","ror":"https://ror.org/01pxwe438","country_code":"CA","type":"education","lineage":["https://openalex.org/I5023651"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Erica E. M. Moodie","raw_affiliation_strings":["Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I5023651"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082776171","display_name":"BLUMA G. BRENNER","orcid":"https://orcid.org/0000-0002-2084-728X","observed_orcids":["https://orcid.org/0000-0002-2084-728X"]},"institutions":[{"id":"https://openalex.org/I4405267356","display_name":"Lady Davis Institute for Medical Research","ror":"https://ror.org/02c1np254","country_code":"CA","type":"education","lineage":["https://openalex.org/I2801824472","https://openalex.org/I2801902503","https://openalex.org/I4210139015","https://openalex.org/I4405256057","https://openalex.org/I4405267356","https://openalex.org/I4405279980"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Bluma Brenner","raw_affiliation_strings":["Lady Davis Research Institute, Montreal, Quebec, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lady Davis Research Institute, Montreal, Quebec, Canada","institution_ids":["https://openalex.org/I4405267356"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048550846"],"corresponding_institution_ids":["https://openalex.org/I5023651"],"apc_list":null,"apc_paid":null,"fwci":0.2967,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.73398539,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":"2","first_page":"90","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14374","display_name":"Statistical Methods in Epidemiology","score":0.8633000254631042,"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/T14374","display_name":"Statistical Methods in Epidemiology","score":0.8633000254631042,"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/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.052400000393390656,"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/T10845","display_name":"Advanced Causal Inference Techniques","score":0.04600000008940697,"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/simex","display_name":"SIMEX","score":0.8270000219345093},{"id":"https://openalex.org/keywords/measurement-error","display_name":"measurement error","score":0.6700000166893005},{"id":"https://openalex.org/keywords/bias-mitigation","display_name":"bias mitigation","score":0.7429999709129333},{"id":"https://openalex.org/keywords/behavioral-correlates","display_name":"behavioral correlates","score":0.621999979019165},{"id":"https://openalex.org/keywords/consistency","display_name":"consistency","score":0.6349999904632568},{"id":"https://openalex.org/keywords/validation-data","display_name":"validation data","score":0.6290000081062317}],"concepts":[{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.7176905870437622},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4784136712551117},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4737447202205658},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4714449644088745},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.45934540033340454},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.33646219968795776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13596925139427185},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.06175720691680908},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1353/obs.2015.0005","doi":"https://doi.org/10.1353/obs.2015.0005","is_oa":true,"landing_page_url":"https://doi.org/10.1353/obs.2015.0005","pdf_url":"https://doi.org/10.1353/obs.2015.0005","source":{"id":"https://openalex.org/S4210233578","display_name":"Observational Studies","issn_l":"2767-3324","issn":["2767-3324"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1","poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Observational Studies","raw_type":"journal-article"},{"id":"pmh:oai:muse.jhu.edu:/article/793404","doi":null,"is_oa":false,"landing_page_url":"https://muse.jhu.edu/article/793404","pdf_url":null,"source":{"id":"https://openalex.org/S4377196299","display_name":"Project Muse (Johns Hopkins University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I145311948","host_organization_name":"Johns Hopkins University","host_organization_lineage":["https://openalex.org/I145311948"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"}],"best_oa_location":{"id":"doi:10.1353/obs.2015.0005","doi":"https://doi.org/10.1353/obs.2015.0005","is_oa":true,"landing_page_url":"https://doi.org/10.1353/obs.2015.0005","pdf_url":"https://doi.org/10.1353/obs.2015.0005","source":{"id":"https://openalex.org/S4210233578","display_name":"Observational Studies","issn_l":"2767-3324","issn":["2767-3324"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","jufo-1","norway-1","poland-20"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Observational Studies","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"id":"https://metadata.un.org/sdg/3","score":0.75,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320334506","display_name":"Canadian Institutes of Health Research","ror":"https://ror.org/01gavpb45"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2557779145.pdf","grobid_xml":"https://content.openalex.org/works/W2557779145.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1842401162","https://openalex.org/W1912210849","https://openalex.org/W1973597065","https://openalex.org/W1998386958","https://openalex.org/W2008102307","https://openalex.org/W2009673841","https://openalex.org/W2011287710","https://openalex.org/W2052857100","https://openalex.org/W2061250208","https://openalex.org/W2063357517","https://openalex.org/W2073864600","https://openalex.org/W2076093244","https://openalex.org/W2091661648","https://openalex.org/W2100399965","https://openalex.org/W2104343088","https://openalex.org/W2113434524","https://openalex.org/W2118502261","https://openalex.org/W2155883240","https://openalex.org/W2162990662","https://openalex.org/W2327867432","https://openalex.org/W2797508167","https://openalex.org/W4302338619","https://openalex.org/W6750567646","https://openalex.org/W7005796402"],"related_works":["https://openalex.org/W2604188292","https://openalex.org/W4382202359","https://openalex.org/W2473516198","https://openalex.org/W6948721864","https://openalex.org/W1966369305","https://openalex.org/W2011287710","https://openalex.org/W1488490403","https://openalex.org/W7134837480","https://openalex.org/W2330385112","https://openalex.org/W1516698482"],"abstract_inverted_index":{"The":[0],"simulation":[1,12,119],"extrapolation":[2,120],"method":[3],"developed":[4],"by":[5,129],"Cook":[6],"and":[7,17,48,157],"Stefanski":[8],"(1995)":[9],"is":[10,51,69,92],"a":[11,170,182,188],"based":[13],"technique":[14],"for":[15,87,144],"estimating":[16],"reducing":[18],"bias":[19],"due":[20],"to":[21,54,95,122,147,167,177,187],"additive":[22],"measurement":[23,34,49,151,193],"error":[24,35,50,152,194],"armed":[25],"only":[26,75],"with":[27,125],"knowledge":[28,101],"of":[29,32,64,81,108,136,173,191],"the":[30,33,79,104,106,109,118,145,148,165,171],"variance":[31],"distribution.However":[36],"there":[37],"are":[38,45,185],"many":[39],"instances":[40],"in":[41,59,132,175],"which":[42],"validation":[43,97],"data":[44,168],"not":[46,53,93],"available,":[47],"known":[52],"have":[55,85],"mean":[56,150],"zero.For":[57],"example,":[58],"assessing":[60],"phylogenetic":[61,138],"cluster":[62,67,139],"size":[63,68],"HIV":[65,137],"viruses,":[66],"systematically":[70],"underestimated":[71],"since":[72],"clustering":[73],"can":[74],"be":[76,112],"performed":[77],"on":[78],"viruses":[80],"those":[82],"individuals":[83],"who":[84],"presented":[86],"testing.In":[88],"this":[89,114],"setting,":[90],"it":[91],"possible":[94,192],"obtain":[96],"data;":[98],"however,":[99],"using":[100],"gleaned":[102],"from":[103,169,181],"literature,":[105],"distribution":[107],"errors":[110,124],"may":[111],"estimated.In":[113],"work,":[115],"we":[116],"extend":[117],"procedure":[121],"accommodate":[123],"non-zero":[126,149],"means,":[127],"motivated":[128],"an":[130],"interest":[131],"determining":[133],"behavioural":[134],"correlates":[135],"size.We":[140],"provide":[141],"theoretical":[142],"justification":[143],"generalization":[146],"case,":[153],"proving":[154],"its":[155,159],"consistency":[156],"demonstrating":[158],"performance":[160],"via":[161],"simulation.We":[162],"then":[163],"apply":[164],"result":[166],"province":[172],"Quebec":[174],"Canada":[176],"show":[178],"that":[179],"findings":[180],"na\u00efve":[183],"analysis":[184],"robust":[186],"substantial":[189],"range":[190],"distributions.":[195]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-12-08T00:00:00"}
