Matches in SemOpenAlex for { <https://semopenalex.org/work/W2074524534> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2074524534 endingPage "121" @default.
- W2074524534 startingPage "113" @default.
- W2074524534 abstract "Abstract Log-binomial model is commonly recommended for modeling prevalence ratio just as logistic regression is used to model log odds-ratio. However, for the log-binomial model, the parameter space turns out to be restricted causing difficulties for the maximum likelihood estimation in terms of convergence of numerical algorithms and calculation of standard errors. Bayesian approach is a natural choice for modeling log-binomial model as it involves neither maximization nor large sample approximation. We consider two objective or non-informative priors for the parameters in a log-binomial model: an improper flat prior and a proper prior. We give sufficient conditions for the posterior from the improper flat prior to be proper, and compare the two priors in terms of the resulting posterior summaries. We use Markov Chain Monte Carlo via slice sampling to simulate from the posterior distributions." @default.
- W2074524534 created "2016-06-24" @default.
- W2074524534 creator A5002224386 @default.
- W2074524534 creator A5047290878 @default.
- W2074524534 creator A5082386934 @default.
- W2074524534 date "2014-03-01" @default.
- W2074524534 modified "2023-09-23" @default.
- W2074524534 title "An objective Bayesian estimation of parameters in a log-binomial model" @default.
- W2074524534 cites W1607280975 @default.
- W2074524534 cites W2006317942 @default.
- W2074524534 cites W2056760934 @default.
- W2074524534 cites W2086880647 @default.
- W2074524534 cites W2089540330 @default.
- W2074524534 cites W2101347185 @default.
- W2074524534 cites W2138309709 @default.
- W2074524534 cites W2139606141 @default.
- W2074524534 cites W2144422782 @default.
- W2074524534 cites W2155393474 @default.
- W2074524534 cites W2168277700 @default.
- W2074524534 cites W2204383650 @default.
- W2074524534 cites W2334254894 @default.
- W2074524534 cites W3106333376 @default.
- W2074524534 cites W32980360 @default.
- W2074524534 doi "https://doi.org/10.1016/j.jspi.2013.09.006" @default.
- W2074524534 hasPublicationYear "2014" @default.
- W2074524534 type Work @default.
- W2074524534 sameAs 2074524534 @default.
- W2074524534 citedByCount "7" @default.
- W2074524534 countsByYear W20745245342014 @default.
- W2074524534 countsByYear W20745245342016 @default.
- W2074524534 countsByYear W20745245342017 @default.
- W2074524534 countsByYear W20745245342019 @default.
- W2074524534 countsByYear W20745245342020 @default.
- W2074524534 countsByYear W20745245342023 @default.
- W2074524534 crossrefType "journal-article" @default.
- W2074524534 hasAuthorship W2074524534A5002224386 @default.
- W2074524534 hasAuthorship W2074524534A5047290878 @default.
- W2074524534 hasAuthorship W2074524534A5082386934 @default.
- W2074524534 hasConcept C100906024 @default.
- W2074524534 hasConcept C105795698 @default.
- W2074524534 hasConcept C107673813 @default.
- W2074524534 hasConcept C149782125 @default.
- W2074524534 hasConcept C162324750 @default.
- W2074524534 hasConcept C187736073 @default.
- W2074524534 hasConcept C199335787 @default.
- W2074524534 hasConcept C2781315470 @default.
- W2074524534 hasConcept C28826006 @default.
- W2074524534 hasConcept C33923547 @default.
- W2074524534 hasConcept C41054675 @default.
- W2074524534 hasConcept C68022304 @default.
- W2074524534 hasConcept C96250715 @default.
- W2074524534 hasConceptScore W2074524534C100906024 @default.
- W2074524534 hasConceptScore W2074524534C105795698 @default.
- W2074524534 hasConceptScore W2074524534C107673813 @default.
- W2074524534 hasConceptScore W2074524534C149782125 @default.
- W2074524534 hasConceptScore W2074524534C162324750 @default.
- W2074524534 hasConceptScore W2074524534C187736073 @default.
- W2074524534 hasConceptScore W2074524534C199335787 @default.
- W2074524534 hasConceptScore W2074524534C2781315470 @default.
- W2074524534 hasConceptScore W2074524534C28826006 @default.
- W2074524534 hasConceptScore W2074524534C33923547 @default.
- W2074524534 hasConceptScore W2074524534C41054675 @default.
- W2074524534 hasConceptScore W2074524534C68022304 @default.
- W2074524534 hasConceptScore W2074524534C96250715 @default.
- W2074524534 hasLocation W20745245341 @default.
- W2074524534 hasOpenAccess W2074524534 @default.
- W2074524534 hasPrimaryLocation W20745245341 @default.
- W2074524534 hasRelatedWork W1495496944 @default.
- W2074524534 hasRelatedWork W1975248357 @default.
- W2074524534 hasRelatedWork W2044633064 @default.
- W2074524534 hasRelatedWork W2139921805 @default.
- W2074524534 hasRelatedWork W2146779207 @default.
- W2074524534 hasRelatedWork W2170350930 @default.
- W2074524534 hasRelatedWork W2347359446 @default.
- W2074524534 hasRelatedWork W3146371989 @default.
- W2074524534 hasRelatedWork W47155045 @default.
- W2074524534 hasRelatedWork W797394220 @default.
- W2074524534 hasVolume "146" @default.
- W2074524534 isParatext "false" @default.
- W2074524534 isRetracted "false" @default.
- W2074524534 magId "2074524534" @default.
- W2074524534 workType "article" @default.