{"id":"https://openalex.org/W2273993729","doi":"https://doi.org/10.1111/rssa.12182","title":"Identifying Subgroups of Enhanced Predictive Accuracy from Longitudinal Biomarker Data by Using Tree-Based Approaches: Applications to Fetal Growth","display_name":"Identifying Subgroups of Enhanced Predictive Accuracy from Longitudinal Biomarker Data by Using Tree-Based Approaches: Applications to Fetal Growth","publication_year":2016,"publication_date":"2016-02-05","ids":{"openalex":"https://openalex.org/W2273993729","doi":"https://doi.org/10.1111/rssa.12182","mag":"2273993729","pmid":"https://pubmed.ncbi.nlm.nih.gov/28239239","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/5321661"},"language":"en","primary_location":{"id":"doi:10.1111/rssa.12182","doi":"https://doi.org/10.1111/rssa.12182","is_oa":true,"landing_page_url":"https://doi.org/10.1111/rssa.12182","pdf_url":"https://academic.oup.com/jrsssa/article-pdf/180/1/247/49409297/jrsssa_180_1_247.pdf","source":{"id":"https://openalex.org/S185328345","display_name":"Journal of the Royal Statistical Society Series A (Statistics in Society)","issn_l":"0964-1998","issn":["0964-1998","1467-985X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311763","host_organization_name":"Royal Statistical Society","host_organization_lineage":["https://openalex.org/P4310311763"],"host_organization_lineage_names":["Royal Statistical Society"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Royal Statistical Society Series A: Statistics in Society","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://academic.oup.com/jrsssa/article-pdf/180/1/247/49409297/jrsssa_180_1_247.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063699585","display_name":"Jared C. Foster","orcid":"https://orcid.org/0000-0002-2931-4850","observed_orcids":["https://orcid.org/0000-0002-2931-4850"]},"institutions":[{"id":"https://openalex.org/I4210144228","display_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","ror":"https://ror.org/04byxyr05","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210144228"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jared C. Foster","raw_affiliation_strings":["Eunice Kennedy Shriver National Institute of Child Health and Human Development , Bethesda , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eunice Kennedy Shriver National Institute of Child Health and Human Development , Bethesda , USA","institution_ids":["https://openalex.org/I4210144228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022123442","display_name":"Danping Liu","orcid":"https://orcid.org/0000-0001-5483-6303","observed_orcids":["https://orcid.org/0000-0001-5483-6303"]},"institutions":[{"id":"https://openalex.org/I4210144228","display_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","ror":"https://ror.org/04byxyr05","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210144228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danping Liu","raw_affiliation_strings":["Eunice Kennedy Shriver National Institute of Child Health and Human Development , Bethesda , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eunice Kennedy Shriver National Institute of Child Health and Human Development , Bethesda , USA","institution_ids":["https://openalex.org/I4210144228"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039237147","display_name":"Paul S. Albert","orcid":"https://orcid.org/0000-0003-1658-1068","observed_orcids":["https://orcid.org/0000-0003-1658-1068"]},"institutions":[{"id":"https://openalex.org/I4210144228","display_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","ror":"https://ror.org/04byxyr05","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210144228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul S. Albert","raw_affiliation_strings":["Eunice Kennedy Shriver National Institute of Child Health and Human Development , Bethesda , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eunice Kennedy Shriver National Institute of Child Health and Human Development , Bethesda , USA","institution_ids":["https://openalex.org/I4210144228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078901632","display_name":"Aiyi Liu","orcid":"https://orcid.org/0000-0002-6618-5082","observed_orcids":["https://orcid.org/0000-0002-6618-5082"]},"institutions":[{"id":"https://openalex.org/I4210144228","display_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","ror":"https://ror.org/04byxyr05","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210144228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aiyi Liu","raw_affiliation_strings":["Eunice Kennedy Shriver National Institute of Child Health and Human Development , Bethesda , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eunice Kennedy Shriver National Institute of Child Health and Human Development , Bethesda , USA","institution_ids":["https://openalex.org/I4210144228"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5063699585"],"corresponding_institution_ids":["https://openalex.org/I4210144228"],"apc_list":{"value":2621,"currency":"GBP","value_usd":3456},"apc_paid":{"value":2621,"currency":"GBP","value_usd":3456},"fwci":0.5766,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70718447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":96},"biblio":{"volume":"180","issue":"1","first_page":"247","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.38749998807907104,"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":0.38749998807907104,"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":0.28610000014305115,"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/T10538","display_name":"Data Mining Algorithms and Applications","score":0.06040000170469284,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subgroup-identification","display_name":"subgroup identification","score":0.6740000247955322},{"id":"https://openalex.org/keywords/prediction-accuracy","display_name":"prediction accuracy","score":0.8809999823570251},{"id":"https://openalex.org/keywords/longitudinal-biomarkers","display_name":"longitudinal biomarkers","score":0.7979999780654907},{"id":"https://openalex.org/keywords/ultrasonic-measurement","display_name":"ultrasonic measurement","score":0.7670000195503235},{"id":"https://openalex.org/keywords/fetal-growth","display_name":"fetal growth","score":0.9679999947547913},{"id":"https://openalex.org/keywords/small-for-gestational-age","display_name":"small for gestational age","score":0.8840000033378601},{"id":"https://openalex.org/keywords/large-for-gestational-age","display_name":"large for gestational age","score":0.9670000076293945},{"id":"https://openalex.org/keywords/tree-based-models","display_name":"tree-based models","score":0.8330000042915344},{"id":"https://openalex.org/keywords/pruning-algorithm","display_name":"pruning algorithm","score":0.9110000133514404},{"id":"https://openalex.org/keywords/type-i-error-control","display_name":"type I error control","score":0.8399999737739563},{"id":"https://openalex.org/keywords/false-discovery","display_name":"false discovery","score":0.7549999952316284}],"concepts":[{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.7237009406089783},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.6118099093437195},{"id":"https://openalex.org/C3020672099","wikidata":"https://www.wikidata.org/wiki/Q857354","display_name":"Longitudinal data","level":2,"score":0.5024166107177734},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48689785599708557},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43626081943511963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35234519839286804},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3498838543891907},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3317004442214966},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32575154304504395},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3169094920158386},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.1337011456489563},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1111/rssa.12182","doi":"https://doi.org/10.1111/rssa.12182","is_oa":true,"landing_page_url":"https://doi.org/10.1111/rssa.12182","pdf_url":"https://academic.oup.com/jrsssa/article-pdf/180/1/247/49409297/jrsssa_180_1_247.pdf","source":{"id":"https://openalex.org/S185328345","display_name":"Journal of the Royal Statistical Society Series A (Statistics in Society)","issn_l":"0964-1998","issn":["0964-1998","1467-985X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311763","host_organization_name":"Royal Statistical Society","host_organization_lineage":["https://openalex.org/P4310311763"],"host_organization_lineage_names":["Royal Statistical Society"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Royal Statistical Society Series A: Statistics in Society","raw_type":"journal-article"},{"id":"pmid:28239239","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/28239239","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,"listed_in":[],"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":"Journal of the Royal Statistical Society. Series A, (Statistics in Society)","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:5321661","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5321661","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,"listed_in":[],"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":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"J R Stat Soc Ser A Stat Soc","raw_type":"Text"},{"id":"pmh:oai:RePEc:bla:jorssa:v:180:y:2017:i:1:p:247-261","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1111/rssa.12182","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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"}],"best_oa_location":{"id":"doi:10.1111/rssa.12182","doi":"https://doi.org/10.1111/rssa.12182","is_oa":true,"landing_page_url":"https://doi.org/10.1111/rssa.12182","pdf_url":"https://academic.oup.com/jrsssa/article-pdf/180/1/247/49409297/jrsssa_180_1_247.pdf","source":{"id":"https://openalex.org/S185328345","display_name":"Journal of the Royal Statistical Society Series A (Statistics in Society)","issn_l":"0964-1998","issn":["0964-1998","1467-985X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","dongbi-b","doyens","jufo-2","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310311763","host_organization_name":"Royal Statistical Society","host_organization_lineage":["https://openalex.org/P4310311763"],"host_organization_lineage_names":["Royal Statistical Society"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Royal Statistical Society Series A: Statistics in Society","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6240000128746033,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G1667031398","display_name":null,"funder_award_id":"Z99HD999999","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337364","display_name":"National Institute of Child Health and Human Development","ror":"https://ror.org/04byxyr05"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2273993729.pdf","grobid_xml":"https://content.openalex.org/works/W2273993729.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1565283841","https://openalex.org/W1982637896","https://openalex.org/W2003336670","https://openalex.org/W2050684851","https://openalex.org/W2052829936","https://openalex.org/W2065630558","https://openalex.org/W2066153095","https://openalex.org/W2069026846","https://openalex.org/W2070505631","https://openalex.org/W2072968785","https://openalex.org/W2078110114","https://openalex.org/W2093734818","https://openalex.org/W2108143085","https://openalex.org/W2108233388","https://openalex.org/W2123998733","https://openalex.org/W2126292488","https://openalex.org/W2130939988","https://openalex.org/W2145878099","https://openalex.org/W2160616692","https://openalex.org/W2165414412","https://openalex.org/W2181910510","https://openalex.org/W2787894218"],"related_works":["https://openalex.org/W2580394399","https://openalex.org/W2757902214","https://openalex.org/W3007204769","https://openalex.org/W7165541152","https://openalex.org/W1565283841","https://openalex.org/W2065630558","https://openalex.org/W1764407365","https://openalex.org/W4412218943","https://openalex.org/W7220731517","https://openalex.org/W2728910697"],"abstract_inverted_index":{"Longitudinal":[0],"monitoring":[1],"of":[2,22,37,77,80],"biomarkers":[3],"is":[4,42],"often":[5],"helpful":[6],"for":[7,39],"predicting":[8],"disease":[9],"or":[10],"a":[11,52,60,66],"poor":[12],"clinical":[13],"outcome.":[14],"In":[15],"this":[16],"paper,":[17],"We":[18,50],"consider":[19],"the":[20,75,90],"prediction":[21,41],"both":[23],"large":[24],"and":[25,32,59,95],"small-for-gestational-age":[26],"births":[27],"using":[28],"longitudinal":[29],"ultrasound":[30],"measurements,":[31],"attempt":[33],"to":[34,55,73,87],"identify":[35],"subgroups":[36],"women":[38],"whom":[40],"more":[43],"(or":[44],"less)":[45],"accurate,":[46],"should":[47],"they":[48],"exist.":[49],"propose":[51],"tree-based":[53],"approach":[54],"identifying":[56],"such":[57],"subgroups,":[58],"pruning":[61],"algorithm":[62],"which":[63],"explicitly":[64],"incorporates":[65],"desired":[67],"type-I":[68],"error":[69],"rate,":[70],"allowing":[71],"us":[72],"control":[74],"risk":[76],"false":[78],"discovery":[79],"subgroups.":[81],"The":[82],"proposed":[83],"methods":[84],"are":[85,96],"applied":[86],"data":[88],"from":[89],"Scandinavian":[91],"Fetal":[92],"Growth":[93],"Study,":[94],"evaluated":[97],"via":[98],"simulations.":[99]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}
