Matches in SemOpenAlex for { <https://semopenalex.org/work/W2093562401> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W2093562401 endingPage "919" @default.
- W2093562401 startingPage "902" @default.
- W2093562401 abstract "Noninferiority trials are unique because they are dependent upon historical information in order to make meaningful interpretation of their results. Hence, a direct application of the Bayesian paradigm in sequential learning becomes apparently useful in the analysis. This paper describes a Bayesian procedure for testing noninferiority in two-arm studies with a binary primary endpoint that allows the incorporation of historical data on an active control via the use of informative priors. In particular, the posteriors of the response in historical trials are assumed as priors for its corresponding parameters in the current trial, where that treatment serves as the active control. The Bayesian procedure includes a fully Bayesian method and two normal approximation methods on the prior and/or on the posterior distributions. Then a common Bayesian decision criterion is used but with two prespecified cutoff levels, one for the approximation methods and the other for the fully Bayesian method, to determine whether the experimental treatment is noninferior to the active control. This criterion is evaluated and compared with the frequentist method using simulation studies in keeping with regulatory framework that new methods must protect type I error and arrive at a similar conclusion with existing standard strategies. Results show that both methods arrive at comparable conclusions of noninferiority when applied to a modified real data set. The advantage of the proposed Bayesian approach lies in its ability to provide posterior probabilities for effect sizes of the experimental treatment over the active control." @default.
- W2093562401 created "2016-06-24" @default.
- W2093562401 creator A5050221788 @default.
- W2093562401 creator A5063032156 @default.
- W2093562401 creator A5084889694 @default.
- W2093562401 date "2011-08-10" @default.
- W2093562401 modified "2023-09-23" @default.
- W2093562401 title "Bayesian Approach to Noninferiority Trials for Proportions" @default.
- W2093562401 cites W1973521570 @default.
- W2093562401 cites W1975546893 @default.
- W2093562401 cites W1987467897 @default.
- W2093562401 cites W2002851345 @default.
- W2093562401 cites W2007239126 @default.
- W2093562401 cites W2066863580 @default.
- W2093562401 cites W2091584015 @default.
- W2093562401 cites W2114953454 @default.
- W2093562401 cites W2116768788 @default.
- W2093562401 cites W2157011138 @default.
- W2093562401 cites W2312621854 @default.
- W2093562401 cites W2726799618 @default.
- W2093562401 doi "https://doi.org/10.1080/10543406.2011.589646" @default.
- W2093562401 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21830922" @default.
- W2093562401 hasPublicationYear "2011" @default.
- W2093562401 type Work @default.
- W2093562401 sameAs 2093562401 @default.
- W2093562401 citedByCount "27" @default.
- W2093562401 countsByYear W20935624012012 @default.
- W2093562401 countsByYear W20935624012013 @default.
- W2093562401 countsByYear W20935624012014 @default.
- W2093562401 countsByYear W20935624012015 @default.
- W2093562401 countsByYear W20935624012016 @default.
- W2093562401 countsByYear W20935624012017 @default.
- W2093562401 countsByYear W20935624012018 @default.
- W2093562401 countsByYear W20935624012019 @default.
- W2093562401 countsByYear W20935624012020 @default.
- W2093562401 countsByYear W20935624012021 @default.
- W2093562401 countsByYear W20935624012022 @default.
- W2093562401 crossrefType "journal-article" @default.
- W2093562401 hasAuthorship W2093562401A5050221788 @default.
- W2093562401 hasAuthorship W2093562401A5063032156 @default.
- W2093562401 hasAuthorship W2093562401A5084889694 @default.
- W2093562401 hasConcept C101112237 @default.
- W2093562401 hasConcept C105795698 @default.
- W2093562401 hasConcept C107673813 @default.
- W2093562401 hasConcept C119857082 @default.
- W2093562401 hasConcept C142291917 @default.
- W2093562401 hasConcept C149569020 @default.
- W2093562401 hasConcept C149782125 @default.
- W2093562401 hasConcept C154945302 @default.
- W2093562401 hasConcept C160234255 @default.
- W2093562401 hasConcept C162376815 @default.
- W2093562401 hasConcept C177769412 @default.
- W2093562401 hasConcept C207201462 @default.
- W2093562401 hasConcept C33923547 @default.
- W2093562401 hasConcept C41008148 @default.
- W2093562401 hasConcept C57830394 @default.
- W2093562401 hasConceptScore W2093562401C101112237 @default.
- W2093562401 hasConceptScore W2093562401C105795698 @default.
- W2093562401 hasConceptScore W2093562401C107673813 @default.
- W2093562401 hasConceptScore W2093562401C119857082 @default.
- W2093562401 hasConceptScore W2093562401C142291917 @default.
- W2093562401 hasConceptScore W2093562401C149569020 @default.
- W2093562401 hasConceptScore W2093562401C149782125 @default.
- W2093562401 hasConceptScore W2093562401C154945302 @default.
- W2093562401 hasConceptScore W2093562401C160234255 @default.
- W2093562401 hasConceptScore W2093562401C162376815 @default.
- W2093562401 hasConceptScore W2093562401C177769412 @default.
- W2093562401 hasConceptScore W2093562401C207201462 @default.
- W2093562401 hasConceptScore W2093562401C33923547 @default.
- W2093562401 hasConceptScore W2093562401C41008148 @default.
- W2093562401 hasConceptScore W2093562401C57830394 @default.
- W2093562401 hasIssue "5" @default.
- W2093562401 hasLocation W20935624011 @default.
- W2093562401 hasLocation W20935624012 @default.
- W2093562401 hasOpenAccess W2093562401 @default.
- W2093562401 hasPrimaryLocation W20935624011 @default.
- W2093562401 hasRelatedWork W1971976127 @default.
- W2093562401 hasRelatedWork W1980584819 @default.
- W2093562401 hasRelatedWork W2081420412 @default.
- W2093562401 hasRelatedWork W2093562401 @default.
- W2093562401 hasRelatedWork W2949629728 @default.
- W2093562401 hasRelatedWork W2981671826 @default.
- W2093562401 hasRelatedWork W4246698572 @default.
- W2093562401 hasRelatedWork W4297513322 @default.
- W2093562401 hasRelatedWork W4367155594 @default.
- W2093562401 hasRelatedWork W2184215046 @default.
- W2093562401 hasVolume "21" @default.
- W2093562401 isParatext "false" @default.
- W2093562401 isRetracted "false" @default.
- W2093562401 magId "2093562401" @default.
- W2093562401 workType "article" @default.