midasinla: midas goes bayesian via R-INLA

Ben Dwamena

2015 Stata Conference from Stata Users Group

Abstract: Integrated nested Laplace approximation (INLA) has been developed as a computationally fast, deterministic alternative to Markov chain Monte Carlo (MCMC)-based Bayesian modeling. An R interface to the C-based inla (R-INLA) program is available with extensive and diverse applications including diagnostic test accuracy meta-analysis. This talk discusses the INLA methodology briefly and in more detail illustrated application of the user-written ado-file midasinla, a deterministic bayesian version of midas, a comprehensive and medically popular module for diagnostic test accuracy meta-analysis. This Stata routine provides R-INLA estimation of the bivariate random-effects model for diagnostic accuracy meta-analysis with data pre- and post-processing within Stata. A dataset of studies evaluating axillary staging performance of positron emission tomography in breast cancer patients is provided for illustration of the omnibus capabilities of midasinla.

Date: 2015-08-02
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://repec.org/col2015/columbus15_dwamena.pdf

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:scon15:22

Access Statistics for this paper

More papers in 2015 Stata Conference from Stata Users Group Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().