| posterior_samples_Bivariate dataset {DTAplots} | R Documentation |
Samples of the posterior distributions obtained from a Bayesian bivariate meta-analysis model
Description
This dataset provides a sample from the posterior distributions of the various parameters resulting from a Bayesian bivariate meta-analysis model, that are needed to create a summary plot in the receiver operating characteristic (ROC) space.
The posterior samples were obtained by fitting the Bivariate model using the rjags package to data from a systematic review of anti-cyclic citrullinated peptide antibody (anti-CCP) for rheumatoid arthritis. Overall, 37 studies were meta-analyzed, a total of 3 chains were used with 14,000 burn-in iterations after which we drew 1,000 samples from the posterior distributions for the following parameters:
“mu[1]” for the mean logit-transformed sensitivity.
“mu[2]” for the mean logit-transformed specificity.
“tau[1]” for the between-study standard deviation in the logit-transformed sensitivity.
“tau[2]” for the between-study standard deviation in the logit-transformed specificity.
“rho” for the correlation between the mean logit-transformed sensitivity and the mean logit-transformed specificity.
“se” for the logit-transformed sensitivity in individual studies.
“sp” for the logit-transformed specificity in individual studies.
“Mean_Se” for the mean sensitivity.
“Mean_Sp” for the mean specificity.
Usage
data(posterior_samples_Bivariate)Format
A matrix with 3,000 samples from the posterior distribution for each of the 81 parameters listed in the description above.
References
Nishimura K, Sugiyama D, Kogata Y, Tsuji G, Nakazawa T, Kawano S, Saigo K, Morinobu A, Koshiba M, Kuntz KM, Kamae I, Kumagai S. Meta-analysis: diagnostic accuracy of anti-cyclic citrullinated peptide antibody and rheumatoid factor for rheumatoid arthritis. Ann Intern Med. 2007 Jun 5;146(11):797-808. doi: 10.7326/0003-4819-146-11-200706050-00008. PMID: 17548411.