extractSummary: Extract essential summary estimates after fitting the Reitsma...

Description Usage Arguments Details Value See Also

Description

Extract essential summary estimates after fitting the Reitsma bivariate model

Usage

1
extractSummary(fit.reitsma)

Arguments

fit.reitsma

An object of class reitsma returned by fitting the Reitsma bivariate model using the function named reitsma in the mada package

Details

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.

Value

A data frame containing the mean and 95 summary estimates of sensitivity, specificity, positive LR, negative LR and DOR.

See Also

reitsma, SummaryPts


RichardBirnie/mautils documentation built on July 12, 2019, 8:56 p.m.