Bayesian bivariate subgroup analysis for risk–benefit evaluation
نویسندگان
چکیده
منابع مشابه
Bayesian Analysis of Bivariate Competing Risks Models
Absolutely continuous bivariate exponential (ACBVE) models have been widely used in the analysis of competing risks data involving two risk components. For such an analysis, frequentist approach often runs into difficulty due to a likelihood containing some nonidentifiable parameters. With an end to overcome this nonindentifiability, we consider Bayesian procedures. Utilization of informative p...
متن کاملBayesian inference for bivariate ranks
A recommender system based on ranks is proposed, where an expert’s ranking of a set of objects and a user’s ranking of a subset of those objects are combined to make a prediction of the user’s ranking of all objects. The rankings are assumed to be induced by latent continuous variables corresponding to the grades assigned by the expert and the user to the objects. The dependence between the exp...
متن کاملBayesian Prediction Intervals under Bivariate Truncated Generalized Cauchy Distribution
Ateya and Madhagi (2011) introduced a multivariate form of truncated generalized Cauchy distribution (TGCD), which introduced by Ateya and Al-Hussaini (2007). The multivariate version of (TGCD) is denoted by (MVTGCD). Among the features of this form are that subvectors and conditional subvectors of random vectors, distributed according to this distribution, have the same form of distribution ...
متن کاملHierarchical Bayesian Analysis of Bivariate Poisson Regression Model
This article is concerned with the analysis of correlated count data, a class of model in which the correlation between the counts is presented by correlated unobserved heterogeneity components. A Hierarchical Bayesian analysis is used for estimation of the parameters. A Gibbs sampling algorithm is suggested for find posterior densities of parameters. The proposed method is applied to IVF data ...
متن کاملBayesian estimation in Kibble's bivariate gamma distribution
The authors describe Bayesian estimation for the parameters of the bivariate gamma distribution due to Kibble (1941). The density of this distribution can be written as a mixture, which allows for a sim ple data augmentation scheme. The authors propose a Markov chain Monte Carlo algorithm to facilitate estimation. They show that the resulting chain is geometrically ergodic, and thus a regenerat...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Health Services and Outcomes Research Methodology
سال: 2018
ISSN: 1387-3741,1572-9400
DOI: 10.1007/s10742-018-0188-1