| posterior_samples_HSROC dataset {DTAplots} | R Documentation |
Samples of the posterior distributions obtained from a Bayesian HSROC meta-analysis model
Description
This dataset provides a sample from the posterior distributions of the various parameters resulting from a Bayesian hierarchical summary receiver operating characteristic (HSROC) meta-analysis model, that are needed to create a SROC plot in the receiver operating characteristic (ROC) space.
The posterior samples were obtained by fitting the HSROC 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:
“THETA” for the overall mean cut-off value for defining a positive test (threshold parameter).
“LAMBDA” for the overall difference in means (accuracy parameter).
“beta” for the logarithm of the ratio of the standard deviation of test results among patients with and without the disease.
“tau[1]” for the standard deviation of the accuracy parameter.
“tau[2]” for the standard deviation of the threshold parameter.
“se” for the individual logit-transformed sensitivity.
“sp” for the individual logit-transformed specificity.
Usage
data(posterior_samples_HSROC)Format
A matrix with 3,000 samples from the posterior distribution for each of the 79 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.