Meta4diag: Bayesian Bivariate Meta-analysis of Diagnostic Test Studies

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Welcome to meta4diag world!

In this world, we focus on the meta-analysis of I diagnostic test studies. Each study is usually reported in a 2×2 table assuming a perfect reference test,

True Positive(TP) False Positive(FP)
False Negative(FN) True Negative(TN)

Full Bayesian inference using integrated nested Laplace approximations (INLA) is performed on a hierarchical model with 3 levels, for example, the model for analysing sensitivity and specificity jointly with a logit link function is

1. Level

welcome1

2. Level

welcome2
where
welcome3
here i = 1, ..., I is the study index.
3. Level: Priors for σφ2, σψ2 and ρ.

Meta4diag is an R-INLA project. © 2016 INLA group.