3 citations · 3 across the 4 of their papers we have counts for
4 papers
Latent class multivariate probit and latent trait models for evaluating test accuracy without a gold standard: A simulation study
Enzo Cerullo, Sean Pinkney, Alex J. Sutton +3
In the context of an imperfect gold standard, latent class modelling can be used to estimate accuracy of multiple medical tests. However, the conditional independence (CI) assumpti…
Ordinal regression for meta-analysis of test accuracy: a flexible approach for utilising all threshold data
Enzo Cerullo, Klaus Linde, Haley E. Jones +4
Standard (network) meta-analysis methods for medical test accuracy evaluation analyse the data separately for each test threshold - wasting data - unless every study reports all th…
MetaBayesDTA: Codeless Bayesian meta-analysis of test accuracy, with or without a gold standard
Enzo Cerullo, Alex J. Sutton, Hayley E. Jones +3
Introduction: Despite their applicability, statistical models used for the meta-analysis of test accuracy require specialised knowledge to implement, with the necessary level of ex…
Meta-analysis of dichotomous and ordinal tests without a gold standard
Enzo Cerullo, Hayley E. Jones, Olivia Carter +3
Standard methods for the meta-analysis of medical tests without a gold standard are limited to dichotomous data. Multivariate probit models are used to analyze correlated binary da…