{"id":"https://openalex.org/W2563753522","doi":"https://doi.org/10.1080/03610918.2015.1082585","title":"On power and sample size of the ANOVA-type rank test","display_name":"On power and sample size of the ANOVA-type rank test","publication_year":2015,"publication_date":"2015-11-12","ids":{"openalex":"https://openalex.org/W2563753522","doi":"https://doi.org/10.1080/03610918.2015.1082585","mag":"2563753522"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2015.1082585","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1082585","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/A5108722347","display_name":"Chunpeng Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210111804","display_name":"Sanofi (United States)","ror":"https://ror.org/027vj4x92","country_code":"US","type":"company","lineage":["https://openalex.org/I3018075036","https://openalex.org/I4210111804"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Chunpeng Fan","raw_affiliation_strings":["Department of Biostatistics and Programming, Sanofi US Inc., Bridgewater, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Programming, Sanofi US Inc., Bridgewater, NJ, USA","institution_ids":["https://openalex.org/I4210111804"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100344043","display_name":"Donghui Zhang","orcid":"https://orcid.org/0000-0002-7378-100X"},"institutions":[{"id":"https://openalex.org/I4210111804","display_name":"Sanofi (United States)","ror":"https://ror.org/027vj4x92","country_code":"US","type":"company","lineage":["https://openalex.org/I3018075036","https://openalex.org/I4210111804"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Donghui Zhang","raw_affiliation_strings":["Department of Biostatistics and Programming, Sanofi US Inc., Bridgewater, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics and Programming, Sanofi US Inc., Bridgewater, NJ, USA","institution_ids":["https://openalex.org/I4210111804"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5108722347"],"corresponding_institution_ids":["https://openalex.org/I4210111804"],"apc_list":null,"apc_paid":null,"fwci":0.3406,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70430437,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"46","issue":"4","first_page":"3224","last_page":"3241"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11235","display_name":"Statistical Methods in Clinical Trials","score":0.9994000196456909,"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":0.9994000196456909,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10243","display_name":"Statistical Methods and Bayesian Inference","score":0.9965000152587891,"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/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.7797497510910034},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.7168189287185669},{"id":"https://openalex.org/keywords/type-i-and-type-ii-errors","display_name":"Type I and type II errors","score":0.6751695871353149},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6679164171218872},{"id":"https://openalex.org/keywords/analysis-of-variance","display_name":"Analysis of variance","score":0.6405620574951172},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5976145267486572},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5825430154800415},{"id":"https://openalex.org/keywords/population-variance","display_name":"Population variance","score":0.5156439542770386},{"id":"https://openalex.org/keywords/factorial-experiment","display_name":"Factorial experiment","score":0.5123714208602905},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.48371392488479614},{"id":"https://openalex.org/keywords/repeated-measures-design","display_name":"Repeated measures design","score":0.44290661811828613},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4131612479686737},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.08117601275444031}],"concepts":[{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.7797497510910034},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.7168189287185669},{"id":"https://openalex.org/C40696583","wikidata":"https://www.wikidata.org/wiki/Q989120","display_name":"Type I and type II errors","level":2,"score":0.6751695871353149},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6679164171218872},{"id":"https://openalex.org/C99476002","wikidata":"https://www.wikidata.org/wiki/Q42297","display_name":"Analysis of variance","level":2,"score":0.6405620574951172},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5976145267486572},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5825430154800415},{"id":"https://openalex.org/C2985420695","wikidata":"https://www.wikidata.org/wiki/Q175199","display_name":"Population variance","level":3,"score":0.5156439542770386},{"id":"https://openalex.org/C169222746","wikidata":"https://www.wikidata.org/wiki/Q4116558","display_name":"Factorial experiment","level":2,"score":0.5123714208602905},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.48371392488479614},{"id":"https://openalex.org/C102959455","wikidata":"https://www.wikidata.org/wiki/Q7313954","display_name":"Repeated measures design","level":2,"score":0.44290661811828613},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4131612479686737},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.08117601275444031},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2015.1082585","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2015.1082585","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W363315908","https://openalex.org/W1991819346","https://openalex.org/W2008618334","https://openalex.org/W2016064840","https://openalex.org/W2016886155","https://openalex.org/W2024287690","https://openalex.org/W2024421418","https://openalex.org/W2027868819","https://openalex.org/W2034985579","https://openalex.org/W2045075679","https://openalex.org/W2047134830","https://openalex.org/W2055705596","https://openalex.org/W2075624491","https://openalex.org/W2077619737","https://openalex.org/W2092642560","https://openalex.org/W2093241663","https://openalex.org/W2132624093","https://openalex.org/W2141594292","https://openalex.org/W2143088276","https://openalex.org/W2148678270","https://openalex.org/W2318082603","https://openalex.org/W4250286899"],"related_works":["https://openalex.org/W2059402160","https://openalex.org/W2052927015","https://openalex.org/W2147464017","https://openalex.org/W1969824960","https://openalex.org/W4239222608","https://openalex.org/W2012610170","https://openalex.org/W4256361175","https://openalex.org/W2377346500","https://openalex.org/W4224227790","https://openalex.org/W2143107480"],"abstract_inverted_index":{"When":[0,57],"using":[1],"nonparametric":[2,42],"methods":[3],"to":[4,19,92],"analyze":[5],"factorial":[6],"designs":[7],"with":[8],"repeated":[9],"measures,":[10],"the":[11,41,63,71,78,81,94,97],"ANOVA-type":[12],"rank":[13],"test":[14],"has":[15],"gained":[16],"popularity":[17],"due":[18],"its":[20],"robustness":[21],"and":[22,32],"appropriate":[23],"type":[24],"I":[25],"error":[26],"control.":[27],"This":[28],"article":[29],"proposes":[30],"power":[31],"sample":[33],"size":[34],"calculation":[35],"formulas":[36,64],"under":[37],"two":[38],"scenarios":[39],"where":[40],"regression":[43],"coefficients":[44],"are":[45,49],"known":[46],"or":[47],"they":[48],"unknown":[50],"but":[51],"a":[52,58],"pilot":[53,59],"study":[54,60,89],"is":[55,61,90],"available.":[56],"available,":[62],"do":[65],"not":[66],"need":[67],"any":[68],"assumption":[69],"on":[70],"underlying":[72],"population":[73],"distributions.":[74],"Simulation":[75],"results":[76],"confirm":[77],"accuracy":[79],"of":[80,96],"proposed":[82],"methods.":[83,98],"An":[84],"STZ":[85],"rat":[86],"excisional":[87],"wound":[88],"used":[91],"demonstrate":[93],"application":[95]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}