Description Usage Arguments Details Value See Also
Extract essential summary estimates after fitting the Reitsma bivariate model
1 | extractSummary(fit.reitsma)
|
fit.reitsma |
An object of class |
This function takes the output from a fit of the Reitsma bivariate model, extracts the essential summary estimates and returns them in a convenient data frame. The Positive/Negative likelihood ratios and the diagnostic odds ratio are calculated using the method of Zwindermann and Bossuyt. This method uses an MCMC sampling based approach to calculate the results based on a fit of the bivariate model.
A data frame containing the mean and 95 summary estimates of sensitivity, specificity, positive LR, negative LR and DOR.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.