{"id":"https://openalex.org/W1992938038","doi":"https://doi.org/10.1155/2012/639124","title":"Let Continuous Outcome Variables Remain Continuous","display_name":"Let Continuous Outcome Variables Remain Continuous","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W1992938038","doi":"https://doi.org/10.1155/2012/639124","mag":"1992938038","pmid":"https://pubmed.ncbi.nlm.nih.gov/22693539"},"language":"en","primary_location":{"id":"doi:10.1155/2012/639124","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2012/639124","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2012/639124.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://downloads.hindawi.com/journals/cmmm/2012/639124.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005074539","display_name":"Enayatollah Bakhshi","orcid":"https://orcid.org/0000-0001-8049-0190"},"institutions":[{"id":"https://openalex.org/I4210166308","display_name":"University of Social Welfare and Rehabilitation Sciences","ror":"https://ror.org/05jme6y84","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210166308"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Enayatollah Bakhshi","raw_affiliation_strings":["Department of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran 1985713834, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran 1985713834, Iran","institution_ids":["https://openalex.org/I4210166308"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110274942","display_name":"Brian H. McArdle","orcid":null},"institutions":[{"id":"https://openalex.org/I154130895","display_name":"University of Auckland","ror":"https://ror.org/03b94tp07","country_code":"NZ","type":"education","lineage":["https://openalex.org/I154130895"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"Brian McArdle","raw_affiliation_strings":["Department of Statistics, The University of Auckland, Private Bag 92010, Auckland, New Zealand"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, The University of Auckland, Private Bag 92010, Auckland, New Zealand","institution_ids":["https://openalex.org/I154130895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107834405","display_name":"Kazem Mohammad","orcid":null},"institutions":[{"id":"https://openalex.org/I70640408","display_name":"Tehran University of Medical Sciences","ror":"https://ror.org/01c4pz451","country_code":"IR","type":"education","lineage":["https://openalex.org/I70640408"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Kazem Mohammad","raw_affiliation_strings":["Department of Biostatistics, School of Public Health and Institute of Public Health Research, Tehran University of Medical Sciences, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, School of Public Health and Institute of Public Health Research, Tehran University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I70640408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051004679","display_name":"Behjat Seifi","orcid":"https://orcid.org/0000-0002-2082-968X"},"institutions":[{"id":"https://openalex.org/I70640408","display_name":"Tehran University of Medical Sciences","ror":"https://ror.org/01c4pz451","country_code":"IR","type":"education","lineage":["https://openalex.org/I70640408"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Behjat Seifi","raw_affiliation_strings":["Department of Physiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Physiology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran","institution_ids":["https://openalex.org/I70640408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062036489","display_name":"Akbar Biglarian","orcid":"https://orcid.org/0000-0002-9776-7085"},"institutions":[{"id":"https://openalex.org/I4210166308","display_name":"University of Social Welfare and Rehabilitation Sciences","ror":"https://ror.org/05jme6y84","country_code":"IR","type":"education","lineage":["https://openalex.org/I4210166308"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"Akbar Biglarian","raw_affiliation_strings":["Department of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran 1985713834, Iran"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Computer, University of Social Welfare and Rehabilitation Sciences, Tehran 1985713834, Iran","institution_ids":["https://openalex.org/I4210166308"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005074539"],"corresponding_institution_ids":["https://openalex.org/I4210166308"],"apc_list":{"value":2100,"currency":"USD","value_usd":2100},"apc_paid":{"value":2100,"currency":"USD","value_usd":2100},"fwci":0.9345,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.74937311,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"2012","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9922000169754028,"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/T10136","display_name":"Statistical Methods and Inference","score":0.9922000169754028,"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":0.9901999831199646,"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":0.9682999849319458,"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/estimator","display_name":"Estimator","score":0.7136884927749634},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.6495089530944824},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.5166249871253967},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5115945935249329},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.473671019077301},{"id":"https://openalex.org/keywords/continuous-variable","display_name":"Continuous variable","score":0.4716697633266449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4381864368915558},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.429073303937912},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3438185751438141}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7136884927749634},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.6495089530944824},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5166249871253967},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5115945935249329},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.473671019077301},{"id":"https://openalex.org/C2983394010","wikidata":"https://www.wikidata.org/wiki/Q19885330","display_name":"Continuous variable","level":2,"score":0.4716697633266449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4381864368915558},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.429073303937912},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3438185751438141},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008962","descriptor_name":"Models, Theoretical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D009765","descriptor_name":"Obesity","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015992","descriptor_name":"Body Mass Index","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015992","descriptor_name":"Body Mass Index","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015992","descriptor_name":"Body Mass Index","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016013","descriptor_name":"Likelihood Functions","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016017","descriptor_name":"Odds Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016017","descriptor_name":"Odds Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016017","descriptor_name":"Odds Ratio","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D056808","descriptor_name":"Biostatistics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056808","descriptor_name":"Biostatistics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D056808","descriptor_name":"Biostatistics","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1155/2012/639124","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2012/639124","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2012/639124.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},{"id":"pmid:22693539","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/22693539","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":"Computational and mathematical methods in medicine","raw_type":null},{"id":"pmh:oai:doaj.org/article:7eb43dadc56244b599f93d97e5b32411","is_oa":true,"landing_page_url":"https://doaj.org/article/7eb43dadc56244b599f93d97e5b32411","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational and Mathematical Methods in Medicine, Vol 2012 (2012)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:2378562","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/3368309","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"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":"Text"}],"best_oa_location":{"id":"doi:10.1155/2012/639124","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2012/639124","pdf_url":"https://downloads.hindawi.com/journals/cmmm/2012/639124.pdf","source":{"id":"https://openalex.org/S36980176","display_name":"Computational and Mathematical Methods in Medicine","issn_l":"1748-670X","issn":["1748-670X","1748-6718"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational and Mathematical Methods in Medicine","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1992938038.pdf","grobid_xml":"https://content.openalex.org/works/W1992938038.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1935655485","https://openalex.org/W1965062541","https://openalex.org/W1965497717","https://openalex.org/W1987838173","https://openalex.org/W1990972242","https://openalex.org/W2002374079","https://openalex.org/W2007493872","https://openalex.org/W2021659681","https://openalex.org/W2049713645","https://openalex.org/W2051078144","https://openalex.org/W2059523379","https://openalex.org/W2089415104","https://openalex.org/W2097123970","https://openalex.org/W2097484071","https://openalex.org/W2108096958","https://openalex.org/W3148106702","https://openalex.org/W4239848413"],"related_works":["https://openalex.org/W4388813866","https://openalex.org/W2999104021","https://openalex.org/W4293088233","https://openalex.org/W2850804095","https://openalex.org/W1481656249","https://openalex.org/W2162280767","https://openalex.org/W1570799877","https://openalex.org/W2800688113","https://openalex.org/W2057598446","https://openalex.org/W4236933217"],"abstract_inverted_index":{"The":[0],"complementary":[1,35],"log-log":[2,36],"is":[3,60],"an":[4],"alternative":[5],"to":[6,21,29],"logistic":[7],"model.":[8],"In":[9],"many":[10],"areas":[11],"of":[12,33,43,56,86],"research,":[13],"the":[14,27,31,34,48,57,64,84,91,95],"outcome":[15],"data":[16,92],"are":[17,75],"continuous.":[18],"We":[19,45,67],"aim":[20],"provide":[22],"a":[23,53],"procedure":[24],"that":[25,47,69],"allows":[26],"researcher":[28],"estimate":[30],"coefficients":[32],"model":[37],"without":[38,41],"dichotomizing":[39,65,80],"and":[40],"loss":[42],"information.":[44],"show":[46],"sample":[49],"size":[50],"required":[51],"for":[52],"specific":[54],"power":[55],"proposed":[58,73,87],"approach":[59],"substantially":[61],"smaller":[62],"than":[63,79],"method.":[66,81],"find":[68],"estimators":[70],"derived":[71],"from":[72,94],"method":[74],"consistently":[76],"more":[77],"efficient":[78],"To":[82],"illustrate":[83],"use":[85],"method,":[88],"we":[89],"employ":[90],"arising":[93],"NHSI.":[96]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
