Nonparametric survival analysis

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dc.contributor.author Akritas, MG en
dc.date.accessioned 2014-03-01T01:21:08Z
dc.date.available 2014-03-01T01:21:08Z
dc.date.issued 2004 en
dc.identifier.issn 0883-4237 en
dc.identifier.uri http://hdl.handle.net/123456789/16087
dc.subject Analysis of covariance en
dc.subject Analysis of variance en
dc.subject Censored data en
dc.subject Dependent data en
dc.subject k-sample problem en
dc.subject Product-limit estimator en
dc.subject.classification Statistics & Probability en
dc.subject.other OF-FIT TESTS en
dc.subject.other RANDOMLY CENSORED-DATA en
dc.subject.other LIFE-HISTORY DATA en
dc.subject.other CONFIDENCE-INTERVAL en
dc.subject.other FACTORIAL-DESIGNS en
dc.subject.other LARGE SAMPLE en
dc.subject.other GOODNESS en
dc.subject.other MODELS en
dc.subject.other COVARIANCE en
dc.subject.other STATISTICS en
dc.title Nonparametric survival analysis en
heal.type journalArticle en
heal.identifier.primary 10.1214/088342304000000530 en
heal.identifier.secondary http://dx.doi.org/10.1214/088342304000000530 en
heal.language English en
heal.publicationDate 2004 en
heal.abstract Some classes of nonparametric procedures with randomly right-censored data are presented. They include procedures for analysis of variance and analysis of covariance designs with independent and dependent ordinal (continuous and discrete) data. © Institute of Mathematical Statistics, 2004. en
heal.journalName Statistical Science en
dc.identifier.doi 10.1214/088342304000000530 en
dc.identifier.isi ISI:000228784100008 en
dc.identifier.volume 19 en
dc.identifier.issue 4 en
dc.identifier.spage 615 en
dc.identifier.epage 623 en

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