{"id":"https://openalex.org/W2914723185","doi":"https://doi.org/10.1080/03610918.2018.1563156","title":"Confidence interval for the difference between two median survival times with semiparametric transformation models","display_name":"Confidence interval for the difference between two median survival times with semiparametric transformation models","publication_year":2019,"publication_date":"2019-01-22","ids":{"openalex":"https://openalex.org/W2914723185","doi":"https://doi.org/10.1080/03610918.2018.1563156","mag":"2914723185"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2018.1563156","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1563156","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/A5067897711","display_name":"Yu\u2010Mei Chang","orcid":"https://orcid.org/0000-0002-2332-6017"},"institutions":[{"id":"https://openalex.org/I169090423","display_name":"Tunghai University","ror":"https://ror.org/00zhvdn11","country_code":"TW","type":"education","lineage":["https://openalex.org/I169090423"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Mei Chang","raw_affiliation_strings":["Department of Statistics, Tunghai University","Department of Statistics, Tunghai University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Tunghai University","institution_ids":["https://openalex.org/I169090423"]},{"raw_affiliation_string":"Department of Statistics, Tunghai University, Taichung, Taiwan","institution_ids":["https://openalex.org/I169090423"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058562614","display_name":"Pao\u2010Sheng Shen","orcid":"https://orcid.org/0000-0001-6050-8648"},"institutions":[{"id":"https://openalex.org/I169090423","display_name":"Tunghai University","ror":"https://ror.org/00zhvdn11","country_code":"TW","type":"education","lineage":["https://openalex.org/I169090423"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Pao-Sheng Shen","raw_affiliation_strings":["Department of Statistics, Tunghai University","Department of Statistics, Tunghai University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Tunghai University","institution_ids":["https://openalex.org/I169090423"]},{"raw_affiliation_string":"Department of Statistics, Tunghai University, Taichung, Taiwan","institution_ids":["https://openalex.org/I169090423"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036974207","display_name":"Yu-Hsin Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I169090423","display_name":"Tunghai University","ror":"https://ror.org/00zhvdn11","country_code":"TW","type":"education","lineage":["https://openalex.org/I169090423"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Hsin Tang","raw_affiliation_strings":["Department of Statistics, Tunghai University","Department of Statistics, Tunghai University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Tunghai University","institution_ids":["https://openalex.org/I169090423"]},{"raw_affiliation_string":"Department of Statistics, Tunghai University, Taichung, Taiwan","institution_ids":["https://openalex.org/I169090423"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5067897711"],"corresponding_institution_ids":["https://openalex.org/I169090423"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02977265,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"50","issue":"3","first_page":"633","last_page":"649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9858999848365784,"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/T10351","display_name":"Liver Disease Diagnosis and Treatment","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.7433157563209534},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.5817704796791077},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5511091947555542},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.51488196849823},{"id":"https://openalex.org/keywords/semiparametric-model","display_name":"Semiparametric model","score":0.4881747364997864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.46158769726753235},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3202621638774872},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.12630757689476013},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08072316646575928},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06709444522857666}],"concepts":[{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.7433157563209534},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.5817704796791077},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5511091947555542},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.51488196849823},{"id":"https://openalex.org/C78297888","wikidata":"https://www.wikidata.org/wiki/Q7449607","display_name":"Semiparametric model","level":3,"score":0.4881747364997864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.46158769726753235},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3202621638774872},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.12630757689476013},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08072316646575928},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06709444522857666},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2018.1563156","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1563156","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/3","display_name":"Good health and well-being","score":0.6800000071525574}],"awards":[{"id":"https://openalex.org/G4378768647","display_name":null,"funder_award_id":"105-2118-M-029-002","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1978931389","https://openalex.org/W1994680226","https://openalex.org/W1997427494","https://openalex.org/W2007022861","https://openalex.org/W2009790769","https://openalex.org/W2025321408","https://openalex.org/W2030178389","https://openalex.org/W2047586710","https://openalex.org/W2051305724","https://openalex.org/W2055634443","https://openalex.org/W2065631318","https://openalex.org/W2066480653","https://openalex.org/W2086924664","https://openalex.org/W2093562094","https://openalex.org/W2097218265","https://openalex.org/W2104184505","https://openalex.org/W2134413432","https://openalex.org/W2152241768","https://openalex.org/W2168494806","https://openalex.org/W2171720857","https://openalex.org/W2252527007","https://openalex.org/W2304550728","https://openalex.org/W2318060162","https://openalex.org/W3041047318","https://openalex.org/W3102451661","https://openalex.org/W3147894994","https://openalex.org/W4230722445","https://openalex.org/W4231404455","https://openalex.org/W4234294495","https://openalex.org/W4246282732","https://openalex.org/W4246540317","https://openalex.org/W4251362188","https://openalex.org/W4254977152"],"related_works":["https://openalex.org/W2353644209","https://openalex.org/W3086618278","https://openalex.org/W2593663830","https://openalex.org/W2348743188","https://openalex.org/W1967666196","https://openalex.org/W112660553","https://openalex.org/W1486914010","https://openalex.org/W2170349014","https://openalex.org/W2337517868","https://openalex.org/W1981934814"],"abstract_inverted_index":{"In":[0,24],"medical":[1],"studies,":[2],"we":[3,27],"usually":[4],"are":[5],"interested":[6],"in":[7,147],"comparing":[8],"the":[9,13,17,29,37,45,52,65,73,85,88,139],"treatment":[10],"effects":[11],"of":[12,19,31,39,51,78,93,107,119],"drug":[14],"according":[15],"to":[16],"difference":[18,38],"two":[20,40,61],"median":[21,41],"survival":[22,42],"times.":[23],"this":[25],"paper,":[26],"consider":[28],"problem":[30],"constructing":[32,64],"conditional":[33,66],"confidence":[34,67],"interval":[35],"for":[36,63,111,134],"times":[43],"given":[44],"covariates":[46],"under":[47],"a":[48,143,148],"general":[49],"class":[50],"semiparametric":[53,108],"transformation":[54,109],"models":[55,110],"with":[56],"right-censored":[57],"data.":[58],"We":[59,137],"propose":[60],"methods":[62,130],"intervals.":[68],"One":[69],"is":[70],"based":[71],"on":[72,87],"estimating":[74],"equations":[75],"(EE)":[76],"estimator":[77,92],"Chen,":[79],"Jin":[80],"and":[81,84,95,100],"Ying\u2019s":[82],"(2002)":[83],"other":[86],"nonparametric":[89],"maximum":[90],"likelihood":[91],"Zeng":[94],"Lin":[96],"(2006":[97],"Zeng,":[98],"D.,":[99],"D.":[101],"Y.":[102],"Lin.":[103],"2006.":[104],"Efficient":[105],"estimation":[106],"counting":[112],"processes.":[113],"Biometrika":[114],"93":[115],"(3):627\u201340.":[116],"doi:10.1093/biomet/93.3.627.[Crossref],":[117],"[Web":[118],"Science":[120],"\u00ae]":[121],",":[122],"[Google":[123],"Scholar]).":[124],"Simulation":[125],"results":[126],"indicate":[127],"that":[128],"both":[129],"provide":[131],"satisfactory":[132],"coverages":[133],"finite":[135],"sample.":[136],"illustrate":[138],"proposed":[140],"method":[141],"using":[142],"real":[144],"data":[145],"set":[146],"two-arm":[149],"non-small":[150],"cell":[151],"lung":[152],"cancer":[153],"study.":[154]},"counts_by_year":[],"updated_date":"2026-02-13T13:36:01.753593","created_date":"2025-10-10T00:00:00"}