{"id":"https://openalex.org/W161476595","doi":null,"title":"Hypothesis testing in sequentially randomized designs through artificial randomization","display_name":"Hypothesis testing in sequentially randomized designs through artificial randomization","publication_year":2014,"publication_date":"2014-09-29","ids":{"openalex":"https://openalex.org/W161476595","mag":"161476595"},"language":"en","primary_location":{"id":"pmh:oai:d-scholarship.pitt.edu:22810","doi":null,"is_oa":true,"landing_page_url":"https://d-scholarship.pitt.edu/22810/1/Ogbagaber_Semhar_Dissertation_08-28.pdf","pdf_url":"http://d-scholarship.pitt.edu/22810/1/Ogbagaber_Semhar_Dissertation_08-28.pdf","source":{"id":"https://openalex.org/S4306402372","display_name":"D-Scholarship@Pitt (University of Pittsburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I170201317","host_organization_name":"University of Pittsburgh","host_organization_lineage":["https://openalex.org/I170201317"],"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":"PeerReviewed"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://d-scholarship.pitt.edu/22810/1/Ogbagaber_Semhar_Dissertation_08-28.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054130172","display_name":"Semhar Ogbagaber","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Semhar Ogbagaber","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5054130172"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.5313000082969666,"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/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.5313000082969666,"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":0.46480000019073486,"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":0.0006000000284984708,"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/adaptive-treatment-strategies","display_name":"adaptive treatment strategies","score":0.8709999918937683},{"id":"https://openalex.org/keywords/sequential-multiple-assignment-randomized-trial","display_name":"sequential multiple assignment randomized trial","score":0.9760000109672546},{"id":"https://openalex.org/keywords/sample-size-formula","display_name":"sample size formula","score":0.8320000171661377},{"id":"https://openalex.org/keywords/statistical-power","display_name":"statistical power","score":0.7129999995231628},{"id":"https://openalex.org/keywords/g-estimation","display_name":"G-estimation","score":0.9959999918937683},{"id":"https://openalex.org/keywords/chronic-disease-treatment","display_name":"chronic disease treatment","score":0.5690000057220459},{"id":"https://openalex.org/keywords/personalized-treatment","display_name":"personalized treatment","score":0.6140000224113464}],"concepts":[{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.7014269232749939},{"id":"https://openalex.org/C119043178","wikidata":"https://www.wikidata.org/wiki/Q320723","display_name":"Covariate","level":2,"score":0.5125736594200134},{"id":"https://openalex.org/C40696583","wikidata":"https://www.wikidata.org/wiki/Q989120","display_name":"Type I and type II errors","level":2,"score":0.4786011874675751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4673604965209961},{"id":"https://openalex.org/C2779915747","wikidata":"https://www.wikidata.org/wiki/Q17058619","display_name":"Inverse probability weighting","level":3,"score":0.4669170379638672},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.4664587080478668},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.4609679579734802},{"id":"https://openalex.org/C204243189","wikidata":"https://www.wikidata.org/wiki/Q1363085","display_name":"Randomization","level":3,"score":0.4550153315067291},{"id":"https://openalex.org/C169857963","wikidata":"https://www.wikidata.org/wiki/Q1461038","display_name":"Test statistic","level":3,"score":0.44752490520477295},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.44252899289131165},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.4235903024673462},{"id":"https://openalex.org/C168563851","wikidata":"https://www.wikidata.org/wiki/Q1436668","display_name":"Randomized controlled trial","level":2,"score":0.39773029088974},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.38416507840156555},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37719738483428955},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3694419264793396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33166810870170593},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.20034155249595642},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1932370364665985},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:d-scholarship.pitt.edu:22810","doi":null,"is_oa":true,"landing_page_url":"https://d-scholarship.pitt.edu/22810/1/Ogbagaber_Semhar_Dissertation_08-28.pdf","pdf_url":"http://d-scholarship.pitt.edu/22810/1/Ogbagaber_Semhar_Dissertation_08-28.pdf","source":{"id":"https://openalex.org/S4306402372","display_name":"D-Scholarship@Pitt (University of Pittsburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I170201317","host_organization_name":"University of Pittsburgh","host_organization_lineage":["https://openalex.org/I170201317"],"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":"PeerReviewed"},{"id":"mag:161476595","doi":null,"is_oa":false,"landing_page_url":"http://d-scholarship.pitt.edu/22810/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:d-scholarship.pitt.edu:22810","doi":null,"is_oa":true,"landing_page_url":"https://d-scholarship.pitt.edu/22810/1/Ogbagaber_Semhar_Dissertation_08-28.pdf","pdf_url":"http://d-scholarship.pitt.edu/22810/1/Ogbagaber_Semhar_Dissertation_08-28.pdf","source":{"id":"https://openalex.org/S4306402372","display_name":"D-Scholarship@Pitt (University of Pittsburgh)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I170201317","host_organization_name":"University of Pittsburgh","host_organization_lineage":["https://openalex.org/I170201317"],"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":"PeerReviewed"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.8048999905586243,"id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W161476595.pdf","grobid_xml":"https://content.openalex.org/works/W161476595.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W16058864","https://openalex.org/W128574488","https://openalex.org/W1752500127","https://openalex.org/W1971712327","https://openalex.org/W1981730202","https://openalex.org/W1987132730","https://openalex.org/W1995001963","https://openalex.org/W1995185706","https://openalex.org/W2000067992","https://openalex.org/W2007151269","https://openalex.org/W2011300376","https://openalex.org/W2011825847","https://openalex.org/W2016966976","https://openalex.org/W2023634568","https://openalex.org/W2027795129","https://openalex.org/W2042882686","https://openalex.org/W2074360668","https://openalex.org/W2077662436","https://openalex.org/W2082299845","https://openalex.org/W2095558053","https://openalex.org/W2098957004","https://openalex.org/W2103169637","https://openalex.org/W2118502261","https://openalex.org/W2120839204","https://openalex.org/W2127841934","https://openalex.org/W2130845982","https://openalex.org/W2132917208","https://openalex.org/W2141443228","https://openalex.org/W2162512884","https://openalex.org/W2162993517","https://openalex.org/W2163084572","https://openalex.org/W2339692928","https://openalex.org/W2476647140","https://openalex.org/W3102460569","https://openalex.org/W4233471163"],"related_works":["https://openalex.org/W2108141044","https://openalex.org/W2011825847","https://openalex.org/W2145829640","https://openalex.org/W7099123599","https://openalex.org/W7101079287","https://openalex.org/W7100826083","https://openalex.org/W1523155725","https://openalex.org/W3120843327","https://openalex.org/W2883259889","https://openalex.org/W10197929"],"abstract_inverted_index":{"An":[0],"adaptive":[1,163,170,360],"treatment":[2,12,22,36,164,171,189,263,315],"strategy":[3,264],"(ATS)":[4],"is":[5,83,144,336],"an":[6,244,385],"outcome-guided":[7],"algorithm":[8],"that":[9,129,184,191,208,253,305,389],"allows":[10],"personalized":[11],"of":[13,35,43,76,80,188,228,231,239,277,320,331,342,405],"complex":[14],"diseases":[15,290,408],"based":[16,175,398],"on":[17,101,176],"patients'":[18],"disease":[19],"status":[20],"and":[21,29,46,119,151,179,283,294,310,409],"history.":[23],"Conditions":[24],"such":[25,291],"as":[26,199,223,269,292,323,345,347],"AIDS,":[27],"depression,":[28],"cancer":[30,293],"usually":[31,174],"require":[32],"several":[33],"stages":[34,69],"due":[37,204],"to":[38,65,84,90,146,161,168,205,213,248,257,266,308,351,366,378,393],"the":[39,77,81,130,136,206,236,240,250,340,343,349,353],"chronic,":[40],"multifactorial":[41],"nature":[42],"illness":[44],"progression":[45],"management.":[47],"Sequential":[48],"multiple":[49,58,107,214,359],"assignment":[50],"randomized":[51,64],"(SMAR)":[52],"designs":[53,147],"permit":[54],"simultaneous":[55],"inference":[56],"about":[57],"ATSs,":[59],"where":[60],"patients":[61,322],"are":[62,173,197,280,298,317,363],"sequentially":[63],"treatments":[66],"at":[67],"different":[68],"depending":[70],"upon":[71],"response":[72],"status.":[73],"The":[74,139,275],"purpose":[75],"first":[78],"part":[79,238],"dissertation":[82],"develop":[85,114],"a":[86,102,110,115,218,258,272,300,329,374],"sample":[87,116,132,141,375],"size":[88,117,133,142,376],"formula":[89,118,134,143,377],"ensure":[91],"adequate":[92],"power":[93],"for":[94,105,155,186,194,220,339,348],"comparing":[95,106],"two":[96],"or":[97],"more":[98],"ATSs.":[99,368],"Based":[100],"Wald-type":[103],"statistic":[104],"ATSs":[108],"with":[109,148],"continuous":[111,149],"endpoint,":[112],"we":[113,242,372],"test":[120],"it":[121,224],"through":[122,284],"simulation":[123,128],"studies.":[124],"We":[125,382],"show":[126],"via":[127],"proposed":[131,140],"maintains":[135],"nominal":[137],"power.":[138],"applicable":[145],"endpoints":[150],"will":[152,410],"be":[153,267],"useful":[154],"practitioners":[156],"while":[157],"designing":[158],"SMAR":[159,357],"trials":[160,362],"compare":[162,169,367,394],"strategies.":[165,215],"Hypothesis":[166],"testing":[167],"strategies":[172,190,316,395],"inverse":[177],"weighting":[178],"g-estimation.":[180],"However,":[181],"regression":[182,229,273,397],"methods":[183,203,365],"allow":[185,391],"comparison":[187],"flexibly":[192],"adjusts":[193],"baseline":[195],"covariates":[196,270],"not":[198],"straight-forward":[200],"using":[201],"these":[202],"fact":[207],"one":[209],"patient":[210,344],"can":[211],"belong":[212],"This":[216,261],"poses":[217],"challenge":[219],"data":[221,251],"analysts":[222],"violates":[225],"basic":[226],"assumptions":[227],"modeling":[230],"unique":[232],"group":[233],"membership.":[234],"In":[235,369],"second":[237],"dissertation,":[241,371],"propose":[243],"\"artificial":[245,386],"randomization\"":[246,387],"technique":[247,388],"make":[249],"appear":[252],"each":[254],"subject":[255],"belongs":[256],"specific":[259],"ATS.":[260],"enables":[262],"indicators":[265],"inserted":[268],"in":[271,396],"model.":[274],"properties":[276],"this":[278,370],"method":[279],"investigated":[281],"analytically":[282],"simulation.":[285],"Public":[286],"Health":[287],"Significance:":[288],"Chronic":[289],"mental":[295],"health":[296,302,312,354],"problems":[297],"becoming":[299],"major":[301],"care":[303,355],"burden":[304],"present":[306],"challenges":[307],"caregivers":[309],"public":[311],"officials.":[313],"Adaptive":[314],"natural":[318],"way":[319],"treating":[321],"subjects'":[324],"conditions":[325],"change":[326],"repeatedly":[327],"over":[328],"course":[330],"treatment.":[332],"Finding":[333],"optimal":[334],"ATS":[335],"therefore":[337],"vital":[338],"benefit":[341],"well":[346],"society":[350],"reduce":[352],"burden.":[356],"(sequential":[358],"randomized)":[361],"convenient":[364],"provide":[373],"help":[379,411],"design":[380],"SMARTs.":[381],"also":[383],"introduce":[384],"would":[390],"researchers":[392],"models.":[399],"These":[400],"contributions":[401],"enhance":[402],"our":[403],"understanding":[404],"debilitating":[406],"chronic":[407],"managing":[412],"them":[413],"better.":[414]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}