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- W2275397118 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." @default.
- W2275397118 created "2016-06-24" @default.
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- W2275397118 date "2015-08-02" @default.
- W2275397118 modified "2023-09-27" @default.
- W2275397118 title "midasinla: midas goes bayesian via R-INLA" @default.
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