Analysis of paediatric visual acuity using Bayesian copula models with sinh-arcsinh marginal densities.
作者： Julian Stander , Luciana Dalla Valle , Charlotte Taglioni , Brunero Liseo , Angie Wade
DOI: 10.1002/SIM.8176
关键词:
摘要: We analyse paediatric ophthalmic data from a large sample of children aged between 3 and 8 years. use Bayesian additive conditional bivariate copula regression model with sinh-arcsinh marginal densities location, scale, shape parameters that depend smoothly on covariate. perform inference about the unknown quantities our using specially tailored Markov chain Monte Carlo algorithm. gain new insights processes, which determine transformations in visual acuity respect to age, including nature joint changes both eyes as modelled age-related dependence parameter. posterior predictive distributions identify unusual sight characteristics, distinguishing those who are bivariate, but not univariate outliers. In this way, we provide an innovative tool enables clinicians may otherwise be missed. compare simultaneous method two-step frequentist generalised modelling approach.
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