Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022956277> ?p ?o ?g. }
Showing items 1 to 82 of
82
with 100 items per page.
- W2022956277 endingPage "143" @default.
- W2022956277 startingPage "133" @default.
- W2022956277 abstract "For arbitrarily right-censored data, the Kaplan-Meier product-limit estimator 9N provides a nonparametric estimate of the survival function SO = 1FO. We provide large-sample simultaneous confidence bands for SO, centred at SN. The derivation uses the weak convergence of N1{AqN(t) SO(t)}, on a finite interval, to a Gaussian process, a theorem of Breslow & Crowley (1974), and transforms both the time and space axes of the limiting process to achieve a Brownian bridge limit. Parameters in the transformation are replaced by uniformly consistent estimates to form the bands. The new bands reduce to the well-known Kolmogorov bands in the absence of censoring. Comparisons are made with recent bands of Gillespie & Fisher (1979) and V. N. Nair. The bands are illustrated by imposing some different kinds of random censorship on a set of uncensored data." @default.
- W2022956277 created "2016-06-24" @default.
- W2022956277 creator A5029120853 @default.
- W2022956277 creator A5040984504 @default.
- W2022956277 date "1980-01-01" @default.
- W2022956277 modified "2023-10-02" @default.
- W2022956277 title "Confidence bands for a survival curve from censored data" @default.
- W2022956277 cites W188593771 @default.
- W2022956277 cites W1901221442 @default.
- W2022956277 cites W1973429805 @default.
- W2022956277 cites W1978627582 @default.
- W2022956277 cites W1979300931 @default.
- W2022956277 cites W1994138169 @default.
- W2022956277 cites W2009371792 @default.
- W2022956277 cites W2017693984 @default.
- W2022956277 cites W2018471006 @default.
- W2022956277 cites W2023761963 @default.
- W2022956277 cites W2057088856 @default.
- W2022956277 cites W2067086827 @default.
- W2022956277 cites W2083274139 @default.
- W2022956277 cites W2095002555 @default.
- W2022956277 cites W2109118056 @default.
- W2022956277 cites W2162381046 @default.
- W2022956277 cites W2790594745 @default.
- W2022956277 cites W2797953954 @default.
- W2022956277 cites W2989448192 @default.
- W2022956277 cites W3015755522 @default.
- W2022956277 doi "https://doi.org/10.1093/biomet/67.1.133" @default.
- W2022956277 hasPublicationYear "1980" @default.
- W2022956277 type Work @default.
- W2022956277 sameAs 2022956277 @default.
- W2022956277 citedByCount "264" @default.
- W2022956277 countsByYear W20229562772012 @default.
- W2022956277 countsByYear W20229562772013 @default.
- W2022956277 countsByYear W20229562772014 @default.
- W2022956277 countsByYear W20229562772015 @default.
- W2022956277 countsByYear W20229562772016 @default.
- W2022956277 countsByYear W20229562772017 @default.
- W2022956277 countsByYear W20229562772018 @default.
- W2022956277 countsByYear W20229562772019 @default.
- W2022956277 countsByYear W20229562772020 @default.
- W2022956277 countsByYear W20229562772021 @default.
- W2022956277 countsByYear W20229562772022 @default.
- W2022956277 countsByYear W20229562772023 @default.
- W2022956277 crossrefType "journal-article" @default.
- W2022956277 hasAuthorship W2022956277A5029120853 @default.
- W2022956277 hasAuthorship W2022956277A5040984504 @default.
- W2022956277 hasConcept C10515644 @default.
- W2022956277 hasConcept C105795698 @default.
- W2022956277 hasConcept C144024400 @default.
- W2022956277 hasConcept C149782125 @default.
- W2022956277 hasConcept C149923435 @default.
- W2022956277 hasConcept C33923547 @default.
- W2022956277 hasConcept C44249647 @default.
- W2022956277 hasConceptScore W2022956277C10515644 @default.
- W2022956277 hasConceptScore W2022956277C105795698 @default.
- W2022956277 hasConceptScore W2022956277C144024400 @default.
- W2022956277 hasConceptScore W2022956277C149782125 @default.
- W2022956277 hasConceptScore W2022956277C149923435 @default.
- W2022956277 hasConceptScore W2022956277C33923547 @default.
- W2022956277 hasConceptScore W2022956277C44249647 @default.
- W2022956277 hasIssue "1" @default.
- W2022956277 hasLocation W20229562771 @default.
- W2022956277 hasOpenAccess W2022956277 @default.
- W2022956277 hasPrimaryLocation W20229562771 @default.
- W2022956277 hasRelatedWork W1899429405 @default.
- W2022956277 hasRelatedWork W2014671160 @default.
- W2022956277 hasRelatedWork W2066458123 @default.
- W2022956277 hasRelatedWork W2113937888 @default.
- W2022956277 hasRelatedWork W2119158312 @default.
- W2022956277 hasRelatedWork W2153109178 @default.
- W2022956277 hasRelatedWork W2401903608 @default.
- W2022956277 hasRelatedWork W2552050053 @default.
- W2022956277 hasRelatedWork W2995364151 @default.
- W2022956277 hasRelatedWork W797163146 @default.
- W2022956277 hasVolume "67" @default.
- W2022956277 isParatext "false" @default.
- W2022956277 isRetracted "false" @default.
- W2022956277 magId "2022956277" @default.
- W2022956277 workType "article" @default.