{"id":"https://openalex.org/W2012492453","doi":"https://doi.org/10.1214/08-aos662","title":"A semiparametric model for cluster data","display_name":"A semiparametric model for cluster data","publication_year":2009,"publication_date":"2009-07-15","ids":{"openalex":"https://openalex.org/W2012492453","doi":"https://doi.org/10.1214/08-aos662","mag":"2012492453","pmid":"https://pubmed.ncbi.nlm.nih.gov/21103023"},"language":"en","primary_location":{"id":"doi:10.1214/08-aos662","doi":"https://doi.org/10.1214/08-aos662","is_oa":true,"landing_page_url":"https://doi.org/10.1214/08-aos662","pdf_url":"https://projecteuclid.org/journals/annals-of-statistics/volume-37/issue-5A/A-semiparametric-model-for-cluster-data/10.1214/08-AOS662.pdf","source":{"id":"https://openalex.org/S119757635","display_name":"The Annals of Statistics","issn_l":"0090-5364","issn":["0090-5364","2168-8966"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319881","host_organization_name":"Institute of Mathematical Statistics","host_organization_lineage":["https://openalex.org/P4310319881"],"host_organization_lineage_names":["Institute of Mathematical Statistics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Annals of Statistics","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://projecteuclid.org/journals/annals-of-statistics/volume-37/issue-5A/A-semiparametric-model-for-cluster-data/10.1214/08-AOS662.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Wenyang Zhang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Wenyang Zhang","raw_affiliation_strings":["Department of Mathematical Sciences, University of Bath, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematical Sciences, University of Bath, UK","institution_ids":["https://openalex.org/I51601045"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664286","display_name":"Jianqing Fan","orcid":"https://orcid.org/0000-0003-3250-7677","observed_orcids":["https://orcid.org/0000-0003-3250-7677"]},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]},{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["CN","GB","US"],"is_corresponding":false,"raw_author_name":"Jianqing Fan","raw_affiliation_strings":["SCHOOL OF ECONOMICS SHANGHAI UNIVERSITY OF FINANCE AND ECONOMICS P.R. CHINA","University of Bath , Princeton University and Shanghai University of Finance and Economic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"SCHOOL OF ECONOMICS SHANGHAI UNIVERSITY OF FINANCE AND ECONOMICS P.R. CHINA","institution_ids":["https://openalex.org/I181679659"]},{"raw_affiliation_string":"University of Bath , Princeton University and Shanghai University of Finance and Economic","institution_ids":["https://openalex.org/I181679659","https://openalex.org/I20089843","https://openalex.org/I51601045"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yan Sun","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]},{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]},{"id":"https://openalex.org/I51601045","display_name":"University of Bath","ror":"https://ror.org/002h8g185","country_code":"GB","type":"education","lineage":["https://openalex.org/I51601045"]}],"countries":["CN","GB","US"],"is_corresponding":false,"raw_author_name":"Yan Sun","raw_affiliation_strings":["JIANQING FAN DEPARTMENT OF OPERATION RESEARCH AND FINANCIAL ENGINEERING PRINCETON UNIVERSITY USA","University of Bath , Princeton University and Shanghai University of Finance and Economic"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JIANQING FAN DEPARTMENT OF OPERATION RESEARCH AND FINANCIAL ENGINEERING PRINCETON UNIVERSITY USA","institution_ids":["https://openalex.org/I20089843"]},{"raw_affiliation_string":"University of Bath , Princeton University and Shanghai University of Finance and Economic","institution_ids":["https://openalex.org/I181679659","https://openalex.org/I20089843","https://openalex.org/I51601045"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6396,"has_fulltext":true,"cited_by_count":30,"citation_normalized_percentile":{"value":0.85613658,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"37","issue":"5A","first_page":"2377","last_page":"2408"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.4957999885082245,"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":0.4957999885082245,"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.24740000069141388,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.13539999723434448,"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/semiparametric-regression","display_name":"semiparametric regression","score":0.796999990940094},{"id":"https://openalex.org/keywords/clustered-data","display_name":"clustered data","score":0.8880000114440918},{"id":"https://openalex.org/keywords/varying-coefficient-models","display_name":"varying coefficient models","score":0.6100000143051147},{"id":"https://openalex.org/keywords/nonlinear-interactions","display_name":"nonlinear interactions","score":0.7549999952316284},{"id":"https://openalex.org/keywords/random-effects","display_name":"random effects","score":0.8209999799728394},{"id":"https://openalex.org/keywords/intracluster-correlation","display_name":"intra-cluster correlation","score":0.9729999899864197},{"id":"https://openalex.org/keywords/local-linear-regression","display_name":"local linear regression","score":0.9629999995231628},{"id":"https://openalex.org/keywords/simultaneous-confidence-bands","display_name":"simultaneous confidence bands","score":0.8059999942779541},{"id":"https://openalex.org/keywords/hypothesis-testing","display_name":"hypothesis testing","score":0.9580000042915344},{"id":"https://openalex.org/keywords/bangladesh","display_name":"Bangladesh","score":0.8640000224113464}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.739300012588501},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5931000113487244},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4934999942779541},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.48410001397132874},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.47929999232292175},{"id":"https://openalex.org/C19539793","wikidata":"https://www.wikidata.org/wiki/Q7449609","display_name":"Semiparametric regression","level":3,"score":0.47029998898506165},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.46399998664855957},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.46389999985694885},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.43290001153945923},{"id":"https://openalex.org/C78297888","wikidata":"https://www.wikidata.org/wiki/Q7449607","display_name":"Semiparametric model","level":3,"score":0.41510000824928284},{"id":"https://openalex.org/C202887219","wikidata":"https://www.wikidata.org/wiki/Q3895221","display_name":"Parametrization (atmospheric modeling)","level":3,"score":0.412200003862381},{"id":"https://openalex.org/C70519679","wikidata":"https://www.wikidata.org/wiki/Q6666755","display_name":"Log-linear model","level":3,"score":0.4081999957561493},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39320001006126404},{"id":"https://openalex.org/C151201525","wikidata":"https://www.wikidata.org/wiki/Q177239","display_name":"Limit (mathematics)","level":2,"score":0.38179999589920044},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3783999979496002},{"id":"https://openalex.org/C119047807","wikidata":"https://www.wikidata.org/wiki/Q752718","display_name":"Asymptotic analysis","level":2,"score":0.35249999165534973},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.34360000491142273},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.3336000144481659},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3199999928474426},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.31839999556541443},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.31540000438690186},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.31299999356269836},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.30790001153945923},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.30720001459121704},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.2980000078678131},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2939000129699707},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C168743327","wikidata":"https://www.wikidata.org/wiki/Q1826427","display_name":"Random effects model","level":3,"score":0.28139999508857727},{"id":"https://openalex.org/C205167067","wikidata":"https://www.wikidata.org/wiki/Q3300636","display_name":"Interval estimation","level":3,"score":0.2806999981403351},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.2766999900341034},{"id":"https://openalex.org/C46889948","wikidata":"https://www.wikidata.org/wiki/Q2755024","display_name":"Nonlinear regression","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.2678000032901764},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.2614000141620636},{"id":"https://openalex.org/C167928553","wikidata":"https://www.wikidata.org/wiki/Q1376021","display_name":"Estimation theory","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.2538999915122986}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1214/08-aos662","doi":"https://doi.org/10.1214/08-aos662","is_oa":true,"landing_page_url":"https://doi.org/10.1214/08-aos662","pdf_url":"https://projecteuclid.org/journals/annals-of-statistics/volume-37/issue-5A/A-semiparametric-model-for-cluster-data/10.1214/08-AOS662.pdf","source":{"id":"https://openalex.org/S119757635","display_name":"The Annals of Statistics","issn_l":"0090-5364","issn":["0090-5364","2168-8966"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319881","host_organization_name":"Institute of Mathematical Statistics","host_organization_lineage":["https://openalex.org/P4310319881"],"host_organization_lineage_names":["Institute of Mathematical Statistics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Annals of Statistics","raw_type":"journal-article"},{"id":"pmid:21103023","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21103023","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":"Annals of statistics","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:0908.3382","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/0908.3382","pdf_url":"https://arxiv.org/pdf/0908.3382","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"pmh:oai:pubmedcentral.nih.gov:2987698","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/2987698","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Ann Stat","raw_type":"Text"},{"id":"pmh:oai:CULeuclid:euclid.aos/1247663759","doi":null,"is_oa":false,"landing_page_url":"https://projecteuclid.org/euclid.aos/1247663759","pdf_url":null,"source":{"id":"https://openalex.org/S4306400787","display_name":"Project Euclid (Cornell University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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"},{"id":"doi:10.48550/arxiv.0908.3382","doi":"https://doi.org/10.48550/arxiv.0908.3382","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.0908.3382","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.1214/08-aos662","doi":"https://doi.org/10.1214/08-aos662","is_oa":true,"landing_page_url":"https://doi.org/10.1214/08-aos662","pdf_url":"https://projecteuclid.org/journals/annals-of-statistics/volume-37/issue-5A/A-semiparametric-model-for-cluster-data/10.1214/08-AOS662.pdf","source":{"id":"https://openalex.org/S119757635","display_name":"The Annals of Statistics","issn_l":"0090-5364","issn":["0090-5364","2168-8966"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","anvur-class-a","anvur-scientific","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","norway-2","poland-200","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319881","host_organization_name":"Institute of Mathematical Statistics","host_organization_lineage":["https://openalex.org/P4310319881"],"host_organization_lineage_names":["Institute of Mathematical Statistics"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Annals of Statistics","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3826693386","display_name":"High-dimensional statistical learning and inference","funder_award_id":"0704337","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5009483052","display_name":"\u968f\u673a\u53d8\u7cfb\u6570\u6a21\u578b\u7684\u7814\u7a76\u53ca\u5176\u5728\u7ecf\u6d4e\u5b66\u4e2d\u7684\u5e94\u7528","funder_award_id":"10801093","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5929161248","display_name":"Collaborative Research: Development of bioinformatic methods for studying gene expression network inflammation and neuronal regeneration","funder_award_id":"0714554","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7029217358","display_name":"Statistical Methods for Ultrahigh-dimensional Biomedical Data","funder_award_id":"R01GM072611","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"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"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2012492453.pdf","grobid_xml":"https://content.openalex.org/works/W2012492453.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W265283029","https://openalex.org/W1494947645","https://openalex.org/W1551951191","https://openalex.org/W1964113614","https://openalex.org/W1965236914","https://openalex.org/W1985905466","https://openalex.org/W1987893388","https://openalex.org/W1995286197","https://openalex.org/W1999975842","https://openalex.org/W2008520227","https://openalex.org/W2019579897","https://openalex.org/W2028327298","https://openalex.org/W2029419398","https://openalex.org/W2033513426","https://openalex.org/W2035416677","https://openalex.org/W2045901075","https://openalex.org/W2059126764","https://openalex.org/W2060467039","https://openalex.org/W2064850188","https://openalex.org/W2069541127","https://openalex.org/W2079893998","https://openalex.org/W2090382476","https://openalex.org/W2105029316","https://openalex.org/W2144494458","https://openalex.org/W2145850868","https://openalex.org/W2155729182","https://openalex.org/W2160455158","https://openalex.org/W2167417926"],"related_works":[],"abstract_inverted_index":{"In":[0,33,119],"the":[1,6,14,21,25,56,62,71,102,108,134,138,142,154],"analysis":[2],"of":[3,28,46,58,64,101,137],"cluster":[4,78,95],"data":[5],"regression":[7],"coefficients":[8],"are":[9,105,115,125,129,150],"frequently":[10],"assumed":[11],"to":[12,23,41,132,152,161],"be":[13],"same":[15],"across":[16],"all":[17],"clusters.":[18],"This":[19],"hampers":[20],"ability":[22],"study":[24],"varying":[26,44],"impacts":[27,45],"factors":[29,47],"on":[30],"each":[31],"cluster.":[32],"this":[34],"paper,":[35],"a":[36],"semiparametric":[37,72],"model":[38,73,147],"is":[39,85],"introduced":[40],"account":[42],"for":[43,76,87,110],"over":[48],"clusters":[49],"by":[50],"using":[51],"cluster-level":[52],"covariates.":[53],"It":[54],"achieves":[55],"parsimony":[57],"parametrization":[59],"and":[60,93,107,117,148],"allows":[61],"explorations":[63],"nonlinear":[65],"interactions.":[66],"The":[67,98,145],"random":[68],"effect":[69],"in":[70,141,158],"accounts":[74],"also":[75],"within":[77,94],"correlation.":[79],"Local":[80],"linear":[81],"based":[82],"estimation":[83],"procedure":[84],"proposed":[86,103,116,139,146],"estimating":[88],"functional":[89],"coefficients,":[90],"residual":[91],"variance,":[92],"correlation":[96],"matrix.":[97],"asymptotic":[99],"properties":[100],"estimators":[104],"established":[106],"method":[109],"constructing":[111],"simultaneous":[112],"confidence":[113],"bands":[114],"studied.":[118],"addition,":[120],"relevant":[121],"hypothesis":[122],"testing":[123],"problems":[124],"addressed.":[126],"Simulation":[127],"studies":[128],"carried":[130],"out":[131],"demonstrate":[133],"methodological":[135],"power":[136],"methods":[140,149],"finite":[143],"sample.":[144],"used":[151],"analyse":[153],"second":[155],"birth":[156],"interval":[157],"Bangladesh,":[159],"leading":[160],"some":[162],"interesting":[163],"findings.":[164]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":7},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-10-15T10:00:46.086208","created_date":"2016-06-24T00:00:00"}
