{"id":"https://openalex.org/W2765083428","doi":"https://doi.org/10.1186/s12859-017-1863-x","title":"chngpt: threshold regression model estimation and inference","display_name":"chngpt: threshold regression model estimation and inference","publication_year":2017,"publication_date":"2017-10-16","ids":{"openalex":"https://openalex.org/W2765083428","doi":"https://doi.org/10.1186/s12859-017-1863-x","mag":"2765083428","pmid":"https://pubmed.ncbi.nlm.nih.gov/29037149"},"language":"en","primary_location":{"id":"doi:10.1186/s12859-017-1863-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1863-x","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1863-x","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1863-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069748200","display_name":"Youyi Fong","orcid":"https://orcid.org/0000-0002-4230-6863"},"institutions":[{"id":"https://openalex.org/I4210089486","display_name":"Fred Hutch Cancer Center","ror":"https://ror.org/007ps6h72","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210089486"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Youyi Fong","raw_affiliation_strings":["Department of Biostatistics, Bioinformatics and Epidemiology, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, USA, 1100 Fairview Ave N., Seattle, USA. yfong@fhcrc.org","Department of Biostatistics, Bioinformatics and Epidemiology, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, USA, 1100 Fairview Ave N., Seattle, USA"],"raw_orcid":"https://orcid.org/0000-0002-4230-6863","affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Bioinformatics and Epidemiology, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, USA, 1100 Fairview Ave N., Seattle, USA. yfong@fhcrc.org","institution_ids":["https://openalex.org/I4210089486"]},{"raw_affiliation_string":"Department of Biostatistics, Bioinformatics and Epidemiology, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, USA, 1100 Fairview Ave N., Seattle, USA","institution_ids":["https://openalex.org/I4210089486","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023018481","display_name":"Ying Huang","orcid":"https://orcid.org/0000-0002-9655-7502"},"institutions":[{"id":"https://openalex.org/I4210089486","display_name":"Fred Hutch Cancer Center","ror":"https://ror.org/007ps6h72","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210089486"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ying Huang","raw_affiliation_strings":["Department of Biostatistics, Bioinformatics and Epidemiology, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, USA, 1100 Fairview Ave N., Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Bioinformatics and Epidemiology, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, USA, 1100 Fairview Ave N., Seattle, USA","institution_ids":["https://openalex.org/I4210089486","https://openalex.org/I58610484"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085731242","display_name":"Peter B. Gilbert","orcid":"https://orcid.org/0000-0002-2662-9427"},"institutions":[{"id":"https://openalex.org/I4210089486","display_name":"Fred Hutch Cancer Center","ror":"https://ror.org/007ps6h72","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210089486"]},{"id":"https://openalex.org/I58610484","display_name":"Seattle University","ror":"https://ror.org/02jqc0m91","country_code":"US","type":"education","lineage":["https://openalex.org/I58610484"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter B. Gilbert","raw_affiliation_strings":["Department of Biostatistics, Bioinformatics and Epidemiology, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, USA, 1100 Fairview Ave N., Seattle, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Bioinformatics and Epidemiology, Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, USA, 1100 Fairview Ave N., Seattle, USA","institution_ids":["https://openalex.org/I4210089486","https://openalex.org/I58610484"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056778092","display_name":"Sallie R. Permar","orcid":"https://orcid.org/0000-0003-1438-4554"},"institutions":[{"id":"https://openalex.org/I4210126298","display_name":"Duke Medical Center","ror":"https://ror.org/03njmea73","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I4210126298","https://openalex.org/I4210144876"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sallie R. Permar","raw_affiliation_strings":["Human Vaccine Institute, Duke University Medical Center, 2 Genome Court, Durham, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Human Vaccine Institute, Duke University Medical Center, 2 Genome Court, Durham, USA","institution_ids":["https://openalex.org/I4210126298"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5069748200"],"corresponding_institution_ids":["https://openalex.org/I4210089486","https://openalex.org/I58610484"],"apc_list":{"value":2790,"currency":"USD","value_usd":2790},"apc_paid":{"value":2790,"currency":"USD","value_usd":2790},"fwci":8.8938,"has_fulltext":true,"cited_by_count":299,"citation_normalized_percentile":{"value":0.98823291,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"18","issue":"1","first_page":"454","last_page":"454"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.29350000619888306,"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":0.29350000619888306,"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":0.2020999938249588,"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":0.1386999934911728,"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/inference","display_name":"Inference","score":0.6927893161773682},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5682197213172913},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5129477381706238},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5079935193061829},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.4761371910572052},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.40279582142829895},{"id":"https://openalex.org/keywords/computational-biology","display_name":"Computational biology","score":0.39696204662323},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36693039536476135},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3450677990913391},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2708996832370758},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24495923519134521},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.2438989281654358},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09116896986961365}],"concepts":[{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6927893161773682},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5682197213172913},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5129477381706238},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5079935193061829},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.4761371910572052},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.40279582142829895},{"id":"https://openalex.org/C70721500","wikidata":"https://www.wikidata.org/wiki/Q177005","display_name":"Computational biology","level":1,"score":0.39696204662323},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36693039536476135},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3450677990913391},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2708996832370758},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24495923519134521},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.2438989281654358},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09116896986961365},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[{"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":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009010","descriptor_name":"Monte Carlo Method","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":"D012044","descriptor_name":"Regression Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012984","descriptor_name":"Software","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013997","descriptor_name":"Time Factors","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":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015233","descriptor_name":"Models, Statistical","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D015497","descriptor_name":"HIV-1","qualifier_ui":"Q000276","qualifier_name":"immunology","is_major_topic":false},{"descriptor_ui":"D015497","descriptor_name":"HIV-1","qualifier_ui":"Q000276","qualifier_name":"immunology","is_major_topic":false},{"descriptor_ui":"D015497","descriptor_name":"HIV-1","qualifier_ui":"Q000276","qualifier_name":"immunology","is_major_topic":false},{"descriptor_ui":"D015658","descriptor_name":"HIV Infections","qualifier_ui":"Q000276","qualifier_name":"immunology","is_major_topic":false},{"descriptor_ui":"D015658","descriptor_name":"HIV Infections","qualifier_ui":"Q000276","qualifier_name":"immunology","is_major_topic":false},{"descriptor_ui":"D015658","descriptor_name":"HIV Infections","qualifier_ui":"Q000276","qualifier_name":"immunology","is_major_topic":false},{"descriptor_ui":"D015658","descriptor_name":"HIV Infections","qualifier_ui":"Q000635","qualifier_name":"transmission","is_major_topic":false},{"descriptor_ui":"D015658","descriptor_name":"HIV Infections","qualifier_ui":"Q000635","qualifier_name":"transmission","is_major_topic":false},{"descriptor_ui":"D015658","descriptor_name":"HIV Infections","qualifier_ui":"Q000635","qualifier_name":"transmission","is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12859-017-1863-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1863-x","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1863-x","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},{"id":"pmid:29037149","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29037149","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":"BMC bioinformatics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:5644082","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5644082","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Bioinformatics","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:5ae7158aa60e4b44b310f4a7c3ff6485","is_oa":true,"landing_page_url":"https://doaj.org/article/5ae7158aa60e4b44b310f4a7c3ff6485","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":"BMC Bioinformatics, Vol 18, Iss 1, Pp 1-7 (2017)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12859-017-1863-x","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12859-017-1863-x","pdf_url":"https://bmcbioinformatics.biomedcentral.com/track/pdf/10.1186/s12859-017-1863-x","source":{"id":"https://openalex.org/S19032547","display_name":"BMC Bioinformatics","issn_l":"1471-2105","issn":["1471-2105"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Bioinformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.800000011920929}],"awards":[{"id":"https://openalex.org/G1084746053","display_name":"FHCRC High-Performance Computing Cluster","funder_award_id":"1s10od020069-01","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G163897139","display_name":"Statistical Methods for Selection and Evaluation of Biomarkers","funder_award_id":"5r01gm106177-05","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G489252721","display_name":null,"funder_award_id":"R01AI122991","funder_id":"https://openalex.org/F4320337355","funder_display_name":"National Institute of Allergy and Infectious Diseases"},{"id":"https://openalex.org/G4963750803","display_name":"Statistical methods for HIV-1 immune correlates studies","funder_award_id":"6r01ai122991-06","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G511963866","display_name":null,"funder_award_id":"R37-AI054165","funder_id":"https://openalex.org/F4320337355","funder_display_name":"National Institute of Allergy and Infectious Diseases"},{"id":"https://openalex.org/G7126129716","display_name":null,"funder_award_id":"R01-GM106177","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"},{"id":"https://openalex.org/G71599481","display_name":"CoVPN 5001 A prospective study of acute immune responses to SARS-CoV-2 infection SDMC","funder_award_id":"3um1ai068635-17s3","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G819814859","display_name":null,"funder_award_id":"UM1 AI068635","funder_id":"https://openalex.org/F4320337355","funder_display_name":"National Institute of Allergy and Infectious Diseases"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"},{"id":"https://openalex.org/F4320337355","display_name":"National Institute of Allergy and Infectious Diseases","ror":"https://ror.org/043z4tv69"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2765083428.pdf","grobid_xml":"https://content.openalex.org/works/W2765083428.grobid-xml"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W624912034","https://openalex.org/W639907764","https://openalex.org/W1605247079","https://openalex.org/W1948627082","https://openalex.org/W1992667903","https://openalex.org/W1999136880","https://openalex.org/W2096734231","https://openalex.org/W2108653569","https://openalex.org/W2136464549","https://openalex.org/W2161909751","https://openalex.org/W2162849170","https://openalex.org/W2171653202","https://openalex.org/W2406830870","https://openalex.org/W2550712619","https://openalex.org/W2748268306","https://openalex.org/W2769142594","https://openalex.org/W3099763098","https://openalex.org/W6684823039","https://openalex.org/W7081433055"],"related_works":["https://openalex.org/W31220157","https://openalex.org/W2312753042","https://openalex.org/W4289356671","https://openalex.org/W2389155397","https://openalex.org/W2165884543","https://openalex.org/W3186837933","https://openalex.org/W2368989808","https://openalex.org/W1969346022","https://openalex.org/W2034959125","https://openalex.org/W2355687852"],"abstract_inverted_index":{"BACKGROUND:":[0],"Threshold":[1],"regression":[2,10,60,129],"models":[3,11,130,135],"are":[4],"a":[5,22,40],"diverse":[6],"set":[7],"of":[8,33,58,66,77,87,106,113,115],"non-regular":[9],"that":[12],"all":[13],"depend":[14],"on":[15],"change":[16],"points":[17],"or":[18],"thresholds.":[19],"They":[20],"provide":[21],"simple":[23],"but":[24],"elegant":[25],"and":[26,39,50,81,95,131],"interpretable":[27],"way":[28],"to":[29,71,124,138],"model":[30],"certain":[31],"kinds":[32],"nonlinear":[34],"relationships":[35],"between":[36],"the":[37,75,78,82,88,104,111,125],"outcome":[38],"predictor.":[41],"RESULTS:":[42],"The":[43],"R":[44],"package":[45],"chngpt":[46,119],"provides":[47],"both":[48],"estimation":[49],"hypothesis":[51],"testing":[52,89],"functionalities":[53],"for":[54,64,127],"four":[55],"common":[56],"variants":[57],"threshold":[59,128,143],"models.":[61],"All":[62],"allow":[63],"adjustment":[65],"additional":[67],"covariates":[68],"not":[69],"subjected":[70],"thresholding.":[72],"We":[73],"demonstrate":[74],"consistency":[76],"estimating":[79],"procedures":[80,90],"type":[83],"1":[84],"error":[85],"rates":[86],"by":[91],"Monte":[92],"Carlo":[93],"studies,":[94],"illustrate":[96],"their":[97],"practical":[98],"uses":[99],"using":[100],"an":[101],"example":[102],"from":[103],"study":[105],"immune":[107],"response":[108],"biomarkers":[109],"in":[110,141],"context":[112],"Mother-To-Child-Transmission":[114],"HIV-1":[116],"viruses.":[117],"CONCLUSION:":[118],"makes":[120],"several":[121],"unique":[122],"contributions":[123],"software":[126],"will":[132],"make":[133],"these":[134],"more":[136],"accessible":[137],"practitioners":[139],"interested":[140],"modeling":[142],"effects.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":31},{"year":2025,"cited_by_count":72},{"year":2024,"cited_by_count":44},{"year":2023,"cited_by_count":41},{"year":2022,"cited_by_count":46},{"year":2021,"cited_by_count":22},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":8},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":2}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}
