Matches in SemOpenAlex for { <https://semopenalex.org/work/W2099742008> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W2099742008 abstract "The fully nonparametric model for nonlinear analysis of covariance, proposed in Akritas et al. (2000), is considered in the context of censored observations. Under this model, the distributions for each factor level combination and covariate value are not restricted to comply to any parametric or semiparametric model. The data can be continuous or ordinal categorical. The possibility of different shapes of covariate effect in different factor level combinations is also allowed. This generality is useful whenever modelling. assumptions such as additive risks, proportional hazards or proportional odds appear suspect. Test statistics are obtained for the nonparametric hypotheses of no main effect and of no interaction effect which adjusts for the presence of a covariate. They are quadratic forms based on averages over-the covariate values of Beran estimators of the conditional distribution of the survival time given each covariate value, The derivation of the asymptotic chi(2) distribution of the test statistics uses a recently-obtained asymptotic representation of the Bekan estimator as average of independent random variables. A real-data set is analysed and results of simulation studies are reported." @default.
- W2099742008 created "2016-06-24" @default.
- W2099742008 creator A5014835294 @default.
- W2099742008 creator A5021789481 @default.
- W2099742008 creator A5025169649 @default.
- W2099742008 date "2003-06-01" @default.
- W2099742008 modified "2023-09-23" @default.
- W2099742008 title "Nonparametric analysis of covariance for censored data" @default.
- W2099742008 cites W1263077415 @default.
- W2099742008 cites W1975688674 @default.
- W2099742008 cites W1979300931 @default.
- W2099742008 cites W1989451794 @default.
- W2099742008 cites W1989979925 @default.
- W2099742008 cites W1997427494 @default.
- W2099742008 cites W2003695698 @default.
- W2099742008 cites W2005412514 @default.
- W2099742008 cites W2008520971 @default.
- W2099742008 cites W2012987793 @default.
- W2099742008 cites W2043292027 @default.
- W2099742008 cites W2052464909 @default.
- W2099742008 cites W2085688483 @default.
- W2099742008 cites W2088482394 @default.
- W2099742008 cites W2093241663 @default.
- W2099742008 cites W2160842550 @default.
- W2099742008 cites W2168494806 @default.
- W2099742008 cites W2170077348 @default.
- W2099742008 cites W2294550615 @default.
- W2099742008 cites W2331404701 @default.
- W2099742008 cites W2344706185 @default.
- W2099742008 cites W2620772700 @default.
- W2099742008 cites W2995133996 @default.
- W2099742008 doi "https://doi.org/10.1093/biomet/90.2.269" @default.
- W2099742008 hasPublicationYear "2003" @default.
- W2099742008 type Work @default.
- W2099742008 sameAs 2099742008 @default.
- W2099742008 citedByCount "4" @default.
- W2099742008 countsByYear W20997420082012 @default.
- W2099742008 countsByYear W20997420082014 @default.
- W2099742008 crossrefType "journal-article" @default.
- W2099742008 hasAuthorship W2099742008A5014835294 @default.
- W2099742008 hasAuthorship W2099742008A5021789481 @default.
- W2099742008 hasAuthorship W2099742008A5025169649 @default.
- W2099742008 hasConcept C102366305 @default.
- W2099742008 hasConcept C105795698 @default.
- W2099742008 hasConcept C119043178 @default.
- W2099742008 hasConcept C149782125 @default.
- W2099742008 hasConcept C178650346 @default.
- W2099742008 hasConcept C185429906 @default.
- W2099742008 hasConcept C33923547 @default.
- W2099742008 hasConcept C5274069 @default.
- W2099742008 hasConceptScore W2099742008C102366305 @default.
- W2099742008 hasConceptScore W2099742008C105795698 @default.
- W2099742008 hasConceptScore W2099742008C119043178 @default.
- W2099742008 hasConceptScore W2099742008C149782125 @default.
- W2099742008 hasConceptScore W2099742008C178650346 @default.
- W2099742008 hasConceptScore W2099742008C185429906 @default.
- W2099742008 hasConceptScore W2099742008C33923547 @default.
- W2099742008 hasConceptScore W2099742008C5274069 @default.
- W2099742008 hasLocation W20997420081 @default.
- W2099742008 hasOpenAccess W2099742008 @default.
- W2099742008 hasPrimaryLocation W20997420081 @default.
- W2099742008 hasRelatedWork W1978425987 @default.
- W2099742008 hasRelatedWork W2001241741 @default.
- W2099742008 hasRelatedWork W2034726400 @default.
- W2099742008 hasRelatedWork W2048565528 @default.
- W2099742008 hasRelatedWork W2049955931 @default.
- W2099742008 hasRelatedWork W2052172806 @default.
- W2099742008 hasRelatedWork W2053970827 @default.
- W2099742008 hasRelatedWork W2069142113 @default.
- W2099742008 hasRelatedWork W2134385354 @default.
- W2099742008 hasRelatedWork W2186095101 @default.
- W2099742008 isParatext "false" @default.
- W2099742008 isRetracted "false" @default.
- W2099742008 magId "2099742008" @default.
- W2099742008 workType "article" @default.