{"id":"https://openalex.org/W2982491712","doi":"https://doi.org/10.1080/03610918.2019.1682155","title":"Hypothesis testing in outcome-dependent sampling design under generalized linear models","display_name":"Hypothesis testing in outcome-dependent sampling design under generalized linear models","publication_year":2019,"publication_date":"2019-10-30","ids":{"openalex":"https://openalex.org/W2982491712","doi":"https://doi.org/10.1080/03610918.2019.1682155","mag":"2982491712"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2019.1682155","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1682155","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100680223","display_name":"Haodong Zhang","orcid":"https://orcid.org/0009-0009-1653-1432"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haodong Zhang","raw_affiliation_strings":["School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048116978","display_name":"Jieli Ding","orcid":"https://orcid.org/0000-0001-7706-7164"},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jieli Ding","raw_affiliation_strings":["School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Wuhan University, Wuhan, Hubei, China","institution_ids":["https://openalex.org/I37461747"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048116978"],"corresponding_institution_ids":["https://openalex.org/I37461747"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.15347849,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"51","issue":"4","first_page":"1721","last_page":"1745"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9829999804496765,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9829999804496765,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9779999852180481,"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":0.9703999757766724,"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/covariate","display_name":"Covariate","score":0.6510637402534485},{"id":"https://openalex.org/keywords/wald-test","display_name":"Wald test","score":0.647847592830658},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5895192623138428},{"id":"https://openalex.org/keywords/generalized-linear-model","display_name":"Generalized linear model","score":0.5809625387191772},{"id":"https://openalex.org/keywords/null-hypothesis","display_name":"Null hypothesis","score":0.5773631930351257},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.5648625493049622},{"id":"https://openalex.org/keywords/score-test","display_name":"Score test","score":0.5576201677322388},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5536742806434631},{"id":"https://openalex.org/keywords/generalized-linear-mixed-model","display_name":"Generalized linear mixed model","score":0.5464694499969482},{"id":"https://openalex.org/keywords/statistical-hypothesis-testing","display_name":"Statistical hypothesis testing","score":0.539996325969696},{"id":"https://openalex.org/keywords/null","display_name":"Null (SQL)","score":0.5192815661430359},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5106812119483948},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46135497093200684},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.46064144372940063},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.42209142446517944},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4206539988517761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4156702160835266},{"id":"https://openalex.org/keywords/asymptotic-distribution","display_name":"Asymptotic distribution","score":0.41354745626449585},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2527093291282654},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2079099714756012}],"concepts":[{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.6510637402534485},{"id":"https://openalex.org/C203274628","wikidata":"https://www.wikidata.org/wiki/Q748664","display_name":"Wald test","level":3,"score":0.647847592830658},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5895192623138428},{"id":"https://openalex.org/C41587187","wikidata":"https://www.wikidata.org/wiki/Q1501882","display_name":"Generalized linear model","level":2,"score":0.5809625387191772},{"id":"https://openalex.org/C191988596","wikidata":"https://www.wikidata.org/wiki/Q628374","display_name":"Null hypothesis","level":2,"score":0.5773631930351257},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.5648625493049622},{"id":"https://openalex.org/C103463560","wikidata":"https://www.wikidata.org/wiki/Q4456449","display_name":"Score test","level":3,"score":0.5576201677322388},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5536742806434631},{"id":"https://openalex.org/C153720581","wikidata":"https://www.wikidata.org/wiki/Q5532490","display_name":"Generalized linear mixed model","level":2,"score":0.5464694499969482},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.539996325969696},{"id":"https://openalex.org/C203763787","wikidata":"https://www.wikidata.org/wiki/Q371029","display_name":"Null (SQL)","level":2,"score":0.5192815661430359},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5106812119483948},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46135497093200684},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.46064144372940063},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.42209142446517944},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4206539988517761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4156702160835266},{"id":"https://openalex.org/C65778772","wikidata":"https://www.wikidata.org/wiki/Q12345341","display_name":"Asymptotic distribution","level":3,"score":0.41354745626449585},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2527093291282654},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2079099714756012},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2019.1682155","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2019.1682155","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G8188947036","display_name":null,"funder_award_id":"11671310","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1531879651","https://openalex.org/W1533866157","https://openalex.org/W1984208607","https://openalex.org/W1985933235","https://openalex.org/W2009622908","https://openalex.org/W2023200386","https://openalex.org/W2030172320","https://openalex.org/W2031419028","https://openalex.org/W2033661476","https://openalex.org/W2045963699","https://openalex.org/W2053301665","https://openalex.org/W2059932513","https://openalex.org/W2066537474","https://openalex.org/W2080801582","https://openalex.org/W2083095501","https://openalex.org/W2107639732","https://openalex.org/W2128113935","https://openalex.org/W2150589254","https://openalex.org/W2152675118","https://openalex.org/W2152756304","https://openalex.org/W2159205082","https://openalex.org/W2292096624","https://openalex.org/W2318261078","https://openalex.org/W2589958091","https://openalex.org/W2972070739","https://openalex.org/W4301861531"],"related_works":["https://openalex.org/W4249888275","https://openalex.org/W3081465059","https://openalex.org/W2905399339","https://openalex.org/W1559103440","https://openalex.org/W2093700538","https://openalex.org/W3044716326","https://openalex.org/W2141073783","https://openalex.org/W4231562469","https://openalex.org/W2965313916","https://openalex.org/W2013027676"],"abstract_inverted_index":{"In":[0],"many":[1],"large":[2],"cohort":[3],"studies,":[4,95],"the":[5,13,28,38,50,72,78,88],"major":[6],"budge":[7],"and":[8,61,65,77,96],"cost":[9],"typically":[10],"arise":[11],"from":[12],"assembling":[14],"of":[15,41,59,71,87],"primary":[16],"covariates.":[17],"Outcome-dependent":[18],"sampling":[19,24],"(ODS)":[20],"designs":[21],"are":[22,75,82,104],"cost-effective":[23],"schemes":[25],"which":[26],"enrich":[27],"observed":[29],"sample":[30],"by":[31],"selectively":[32],"including":[33],"certain":[34],"subjects.":[35],"We":[36,54],"study":[37],"inference":[39],"methods":[40,90],"hypothesis":[42],"testing":[43],"for":[44],"a":[45,56,100],"general":[46],"ODS":[47],"design":[48],"under":[49],"generalized":[51],"linear":[52],"models.":[53],"develop":[55],"profile-likelihood-based":[57],"family":[58],"tests":[60,74],"propose":[62],"likelihood-ratio,":[63],"Wald":[64],"score":[66],"test":[67],"statistics.":[68],"Asymptotic":[69],"properties":[70],"proposed":[73,89],"established":[76],"null":[79],"limiting":[80],"distributions":[81],"derived.":[83],"The":[84],"finite-sample":[85],"behavior":[86],"is":[91],"evaluated":[92],"through":[93],"simulation":[94],"an":[97],"application":[98],"to":[99],"Wilms":[101],"tumor":[102],"data":[103],"illustrated.":[105]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}