{"id":"https://openalex.org/W2999363593","doi":"https://doi.org/10.1002/sim.8462","title":"Modeling repeated labor curves in consecutive pregnancies: Individualized prediction of labor progression from previous pregnancy data","display_name":"Modeling repeated labor curves in consecutive pregnancies: Individualized prediction of labor progression from previous pregnancy data","publication_year":2020,"publication_date":"2020-01-14","ids":{"openalex":"https://openalex.org/W2999363593","doi":"https://doi.org/10.1002/sim.8462","mag":"2999363593","pmid":"https://pubmed.ncbi.nlm.nih.gov/31943255","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/7171572"},"language":"en","primary_location":{"id":"doi:10.1002/sim.8462","doi":"https://doi.org/10.1002/sim.8462","is_oa":false,"landing_page_url":"https://doi.org/10.1002/sim.8462","pdf_url":null,"source":{"id":"https://openalex.org/S55189604","display_name":"Statistics in Medicine","issn_l":"0277-6715","issn":["0277-6715","1097-0258"],"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","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics in Medicine","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7171572","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006876220","display_name":"Olive D. Buhule","orcid":"https://orcid.org/0000-0001-9417-8210","observed_orcids":["https://orcid.org/0000-0001-9417-8210"]},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Olive D. Buhule","raw_affiliation_strings":["Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin"],"raw_orcid":"https://orcid.org/0000-0001-9417-8210","affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Medical Informatics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071769997","display_name":"Hyoyoung Choo\u2010Wosoba","orcid":"https://orcid.org/0000-0002-8756-1016","observed_orcids":["https://orcid.org/0000-0002-8756-1016"]},"institutions":[{"id":"https://openalex.org/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]},{"id":"https://openalex.org/I4210140884","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210140884"]},{"id":"https://openalex.org/I4391012607","display_name":"Division of Cancer Epidemiology and Genetics","ror":"https://ror.org/00vkwep27","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210140884","https://openalex.org/I4391012607"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hyoyoung Choo\u2010Wosoba","raw_affiliation_strings":["Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland","institution_ids":["https://openalex.org/I1299303238","https://openalex.org/I4210140884","https://openalex.org/I4391012607"]}]},{"author_position":"last","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/I1299303238","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238"]},{"id":"https://openalex.org/I4210140884","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81","country_code":"US","type":"government","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210140884"]},{"id":"https://openalex.org/I4391012607","display_name":"Division of Cancer Epidemiology and Genetics","ror":"https://ror.org/00vkwep27","country_code":"US","type":"facility","lineage":["https://openalex.org/I1299022934","https://openalex.org/I1299303238","https://openalex.org/I4210140884","https://openalex.org/I4391012607"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Paul S. Albert","raw_affiliation_strings":["Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland"],"raw_orcid":"https://orcid.org/0000-0003-1658-1068","affiliations":[{"raw_affiliation_string":"Biostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, Maryland","institution_ids":["https://openalex.org/I1299303238","https://openalex.org/I4210140884","https://openalex.org/I4391012607"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5039237147"],"corresponding_institution_ids":["https://openalex.org/I1299303238","https://openalex.org/I4210140884","https://openalex.org/I4391012607"],"apc_list":{"value":4500,"currency":"USD","value_usd":4500},"apc_paid":null,"fwci":0.3405,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58378841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":96},"biblio":{"volume":"39","issue":"8","first_page":"1068","last_page":"1083"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9301999807357788,"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":0.9301999807357788,"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/T10453","display_name":"Maternal and Perinatal Health Interventions","score":0.0340999998152256,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.012900000438094139,"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/labor-progression","display_name":"labor progression","score":0.9150000214576721},{"id":"https://openalex.org/keywords/consecutive-pregnancies","display_name":"consecutive pregnancies","score":0.7820000052452087},{"id":"https://openalex.org/keywords/cervical-dilation","display_name":"cervical dilatation","score":0.9129999876022339},{"id":"https://openalex.org/keywords/personalized-prediction","display_name":"personalized prediction","score":0.7419999837875366},{"id":"https://openalex.org/keywords/bayesian-forecasting","display_name":"Bayesian forecasting","score":0.6790000200271606},{"id":"https://openalex.org/keywords/model-diagnostics","display_name":"model diagnostics","score":0.7160000205039978}],"concepts":[{"id":"https://openalex.org/C2776622691","wikidata":"https://www.wikidata.org/wiki/Q5065331","display_name":"Cervical dilation","level":4,"score":0.8196755647659302},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.5285020470619202},{"id":"https://openalex.org/C2909246247","wikidata":"https://www.wikidata.org/wiki/Q5065331","display_name":"Cervical dilatation","level":4,"score":0.5188490152359009},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5090917944908142},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.4981989860534668},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4547010660171509},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4226647615432739},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4035714566707611},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.37662962079048157},{"id":"https://openalex.org/C131872663","wikidata":"https://www.wikidata.org/wiki/Q5284418","display_name":"Obstetrics","level":1,"score":0.33272361755371094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18533343076705933},{"id":"https://openalex.org/C46973012","wikidata":"https://www.wikidata.org/wiki/Q28627","display_name":"Gestation","level":3,"score":0.17132601141929626},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.13358622789382935},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C2777740455","wikidata":"https://www.wikidata.org/wiki/Q666412","display_name":"Cervix","level":3,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C95190672","wikidata":"https://www.wikidata.org/wiki/Q815382","display_name":"Meta-analysis","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D001499","descriptor_name":"Bayes Theorem","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D007747","descriptor_name":"Labor Stage, First","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1002/sim.8462","doi":"https://doi.org/10.1002/sim.8462","is_oa":false,"landing_page_url":"https://doi.org/10.1002/sim.8462","pdf_url":null,"source":{"id":"https://openalex.org/S55189604","display_name":"Statistics in Medicine","issn_l":"0277-6715","issn":["0277-6715","1097-0258"],"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","medline","norway-2","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":"public-domain","license_id":"https://openalex.org/licenses/public-domain","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Statistics in Medicine","raw_type":"journal-article"},{"id":"pmid:31943255","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31943255","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":"Statistics in medicine","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:7171572","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7171572","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":"Stat Med","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:7171572","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7171572","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":"Stat Med","raw_type":"Text"},"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/G4438093022","display_name":"Statistical Methods for Analyzing Repeated Measures Data","funder_award_id":"ZIAHD008877","funder_id":"https://openalex.org/F4320337611","funder_display_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development"},{"id":"https://openalex.org/G9000857328","display_name":"Descriptive Studies and Record Linkage","funder_award_id":"ZIACP010183","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"},{"id":"https://openalex.org/G9000871177","display_name":"Methods for Epidemiology Studies","funder_award_id":"ZIACP010181","funder_id":"https://openalex.org/F4320337351","funder_display_name":"National Cancer Institute"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337351","display_name":"National Cancer Institute","ror":"https://ror.org/040gcmg81"},{"id":"https://openalex.org/F4320337611","display_name":"Eunice Kennedy Shriver National Institute of Child Health and Human Development","ror":"https://ror.org/04byxyr05"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1511017002","https://openalex.org/W1601511468","https://openalex.org/W1966711268","https://openalex.org/W1976566530","https://openalex.org/W1984185029","https://openalex.org/W2015795623","https://openalex.org/W2040011853","https://openalex.org/W2056760934","https://openalex.org/W2057765075","https://openalex.org/W2069815396","https://openalex.org/W2073174433","https://openalex.org/W2080106119","https://openalex.org/W2083875149","https://openalex.org/W2089603425","https://openalex.org/W2093870110","https://openalex.org/W2118727855","https://openalex.org/W2134012062","https://openalex.org/W2138309709","https://openalex.org/W2148534890","https://openalex.org/W2160105031","https://openalex.org/W2168934042","https://openalex.org/W2201852956","https://openalex.org/W2342834293","https://openalex.org/W4240278298","https://openalex.org/W4249083122","https://openalex.org/W4388319936"],"related_works":["https://openalex.org/W2160105031","https://openalex.org/W1511017002","https://openalex.org/W4392195542","https://openalex.org/W2148986252","https://openalex.org/W4390739976","https://openalex.org/W2093787962","https://openalex.org/W2028427932","https://openalex.org/W1906802684","https://openalex.org/W2987694400","https://openalex.org/W1973624702"],"abstract_inverted_index":{"The":[0,166],"measurement":[1],"of":[2,5,15,149],"cervical":[3,98],"dilation":[4,99],"a":[6,111,117,178],"pregnant":[7],"woman":[8,93],"is":[9,24,80],"used":[10,169,186],"to":[11,40,104,130,145],"monitor":[12],"the":[13,61,84,91,97,147,150,157,172],"progression":[14,182],"labor":[16,28,73,88,107,124,181],"until":[17],"10":[18],"cm":[19],"when":[20],"pushing":[21],"begins.":[22],"There":[23],"anecdotal":[25],"evidence":[26],"that":[27,121,183],"tracks":[29],"across":[30,75,160],"repeated":[31,87,123],"pregnancies;":[32],"moreover,":[33],"no":[34],"statistical":[35],"methodology":[36,70,137,167],"has":[37],"been":[38],"developed":[39],"address":[41,131],"this":[42],"important":[43],"issue,":[44],"which":[45],"can":[46,184],"help":[47],"obstetricians":[48],"make":[49],"more":[50],"informed":[51],"clinical":[52,188],"decisions":[53],"about":[54],"an":[55],"individual":[56],"woman's":[57],"progression.":[58],"Motivated":[59],"by":[60],"NICHD":[62],"Consecutive":[63],"Pregnancies":[64],"Study":[65],"(CPS),":[66],"we":[67],"propose":[68,110],"new":[69],"for":[71,138,155,180],"analyzing":[72,171],"curves":[74,89,125],"consecutive":[76,161],"pregnancies.":[77],"Our":[78],"focus":[79],"both":[81],"on":[82,90,95],"studying":[83],"correlation":[85],"between":[86,128],"same":[92],"and":[94,127,141,175],"using":[96],"data":[100,174],"from":[101],"prior":[102],"pregnancies":[103,162],"predict":[105],"subsequent":[106],"curves.":[108],"We":[109,134],"hierarchical":[112,151],"random":[113,118,152],"effects":[114,153],"model":[115],"with":[116],"change":[119],"point":[120],"characterizes":[122],"within":[126],"women":[129],"these":[132],"issues.":[133],"employ":[135],"Bayesian":[136],"parameter":[139],"estimation":[140],"prediction.":[142],"Model":[143],"diagnostics":[144],"examine":[146],"appropriateness":[148],"structure":[154,159],"characterizing":[156],"dependence":[158],"are":[163],"also":[164],"proposed.":[165],"was":[168],"in":[170,176,187],"CPS":[173],"developing":[177],"predictor":[179],"be":[185],"practice.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-10-31T12:09:11.096373","created_date":"2020-01-23T00:00:00"}