{"id":"https://openalex.org/W2578840251","doi":"https://doi.org/10.1080/03610918.2017.1280167","title":"A testing strategy for two crossing survival curves","display_name":"A testing strategy for two crossing survival curves","publication_year":2017,"publication_date":"2017-01-20","ids":{"openalex":"https://openalex.org/W2578840251","doi":"https://doi.org/10.1080/03610918.2017.1280167","mag":"2578840251"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2017.1280167","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1280167","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/A5061736335","display_name":"Jin\u2010Jian Hsieh","orcid":"https://orcid.org/0000-0002-6955-7929"},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Jin-Jian Hsieh","raw_affiliation_strings":["Department of Mathematics, National Chung Cheng University, Chia-Yi, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, National Chung Cheng University, Chia-Yi, Taiwan, R.O.C","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100989197","display_name":"Hsin-Yu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsin-Yu Chen","raw_affiliation_strings":["Department of Mathematics, National Chung Cheng University, Chia-Yi, Taiwan, R.O.C"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics, National Chung Cheng University, Chia-Yi, Taiwan, R.O.C","institution_ids":["https://openalex.org/I148099254"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5061736335"],"corresponding_institution_ids":["https://openalex.org/I148099254"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.0165239,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"46","issue":"8","first_page":"6685","last_page":"6696"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9948999881744385,"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":0.9948999881744385,"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":0.9933000206947327,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9789000153541565,"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/type-i-and-type-ii-errors","display_name":"Type I and type II errors","score":0.7529146075248718},{"id":"https://openalex.org/keywords/rank","display_name":"Rank (graph theory)","score":0.600949227809906},{"id":"https://openalex.org/keywords/survival-analysis","display_name":"Survival analysis","score":0.5208521485328674},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5198326706886292},{"id":"https://openalex.org/keywords/log-rank-test","display_name":"Log-rank test","score":0.5181454420089722},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.4729565978050232},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.46836721897125244},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4651170074939728},{"id":"https://openalex.org/keywords/multiple-comparisons-problem","display_name":"Multiple comparisons problem","score":0.4629251956939697},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4615059196949005},{"id":"https://openalex.org/keywords/survival-of-the-fittest","display_name":"Survival of the fittest","score":0.45109814405441284},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4498509466648102},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4249250888824463},{"id":"https://openalex.org/keywords/test-strategy","display_name":"Test strategy","score":0.4103074073791504},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.10645809769630432}],"concepts":[{"id":"https://openalex.org/C40696583","wikidata":"https://www.wikidata.org/wiki/Q989120","display_name":"Type I and type II errors","level":2,"score":0.7529146075248718},{"id":"https://openalex.org/C164226766","wikidata":"https://www.wikidata.org/wiki/Q7293202","display_name":"Rank (graph theory)","level":2,"score":0.600949227809906},{"id":"https://openalex.org/C10515644","wikidata":"https://www.wikidata.org/wiki/Q543310","display_name":"Survival analysis","level":2,"score":0.5208521485328674},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5198326706886292},{"id":"https://openalex.org/C66339696","wikidata":"https://www.wikidata.org/wiki/Q6089397","display_name":"Log-rank test","level":3,"score":0.5181454420089722},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.4729565978050232},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.46836721897125244},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4651170074939728},{"id":"https://openalex.org/C183905921","wikidata":"https://www.wikidata.org/wiki/Q1038757","display_name":"Multiple comparisons problem","level":2,"score":0.4629251956939697},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4615059196949005},{"id":"https://openalex.org/C22614528","wikidata":"https://www.wikidata.org/wiki/Q721322","display_name":"Survival of the fittest","level":2,"score":0.45109814405441284},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4498509466648102},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4249250888824463},{"id":"https://openalex.org/C188598960","wikidata":"https://www.wikidata.org/wiki/Q7705805","display_name":"Test strategy","level":3,"score":0.4103074073791504},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.10645809769630432},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2017.1280167","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2017.1280167","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1979425223","https://openalex.org/W1991177627","https://openalex.org/W2004816062","https://openalex.org/W2043931365","https://openalex.org/W2130375590","https://openalex.org/W2139984188","https://openalex.org/W2143594378","https://openalex.org/W2160842550","https://openalex.org/W2312578942"],"related_works":["https://openalex.org/W154531455","https://openalex.org/W2113330311","https://openalex.org/W1505944461","https://openalex.org/W104021676","https://openalex.org/W2106547200","https://openalex.org/W2113024102","https://openalex.org/W2057633723","https://openalex.org/W2075474943","https://openalex.org/W4200219293","https://openalex.org/W2093463665"],"abstract_inverted_index":{"In":[0],"biomedical":[1],"studies,":[2],"the":[3,19,23,71,80,89,109,113,117,143],"testing":[4,72,121],"problem":[5],"of":[6,104],"two":[7,32,52,105,118,138],"sample":[8,53],"survival":[9,33,54,106,119],"curves":[10,34,55,120],"is":[11,18,43],"commonly":[12],"seen.":[13],"The":[14],"most":[15],"popular":[16],"approach":[17],"log-rank":[20,24],"test.":[21],"However,":[22],"test":[25,51],"may":[26],"lead":[27],"to":[28,45,50,65,78],"misleading":[29],"results":[30],"when":[31],"cross":[35],"each":[36,133],"other.":[37],"From":[38,108],"Li":[39,97],"et":[40,98],"al.,":[41],"it":[42],"difficult":[44],"find":[46],"a":[47,62],"good":[48],"method":[49],"for":[56,70,116,132,146],"all":[57],"situations.":[58],"Here,":[59],"we":[60,75,111,136],"propose":[61],"strategy":[63],"procedure":[64],"combine":[66],"some":[67],"existing":[68],"approaches":[69,95],"problem.":[73],"Then,":[74],"conduct":[76],"simulations":[77],"examine":[79],"power":[81,126],"and":[82,87,127],"Type":[83,129],"I":[84,130],"error":[85,131],"rate,":[86],"compare":[88],"proposed":[90,144],"methods":[91,145],"with":[92,142],"five":[93],"competitive":[94],"from":[96],"al.":[99],"under":[100],"various":[101],"crossing":[102],"situations":[103],"curves.":[107],"results,":[110],"suggest":[112],"Strategy":[114],"2":[115],"problem,":[122],"which":[123],"has":[124],"higher":[125],"appropriate":[128],"situation.":[134],"Finally,":[135],"analyze":[137],"real":[139],"data":[140],"examples":[141],"illustrations.":[147]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
