help midas mlealso see: midas

Title

midas mle -- Bivariate MLE via meqrlogit with Gaussian quadrature

Syntax

midas mle
tp fp fn tn
[if exp]
[in range]
,
id(varlist)
[integration(method)
nip(#)
sortby(varlist)
level(#)
noheader
nocoefficients
nosummary
nofitstat
hetstats
hsroc
revman]

Description

midas mle fits the bivariate random-effects model for diagnostic
test accuracy meta-analysis using maximum likelihood estimation via
Stata's meqrlogit command with adaptive Gaussian quadrature.
It jointly models logit sensitivity and logit specificity with an
unstructured between-study covariance matrix.

Options

id(varlist) study identifier variable(s). Required.

integration(method) quadrature method:
mvaghermite (mean-variance adaptive GHQ, default),
pcaghermite (product-rule adaptive GHQ), or
mcaghermite (Monte Carlo adaptive GHQ).

nip(#) number of integration points. Default 20.

sortby(varlist) sort studies before estimation.

level(#) confidence level. Default 95.

noheader suppresses the estimation header.

nocoefficients suppresses the coefficient table.

nosummary suppresses the summary accuracy table.

nofitstat suppresses fit statistics (AIC, BIC, log-likelihood).

hetstats displays heterogeneity/inconsistency statistics (I-squared).

hsroc displays derived HSROC model parameters (alpha, theta, beta).

revman displays parameters formatted for import into RevMan.

Example

. midas mle tp fp fn tn, id(author year) hetstats hsroc

Also see

midas, midas qrsim, midas mh, midas hmc, midas inla