![]() General purpose Markov chain Monte Carlo (MCMC) software such as BUGS, JAGS, or StanĮstimating Bayesian models and conducting individual participant data (IPD) meta-analysis. R packages identified for evidence synthesis and predictive modelling Patient-level simulation and discrete event simulation. Modelling techniques include decision trees, Markov models, patient-level simulation and discrete event simulation Systematic reviewing and meta-analysis, including network meta-analysis using frequentist methods (this software uses the ‘netmata’ and ‘metafor’ packages for R – see details below).Įconomic modelling, including the implementation of multi-state models. Pairwise meta-analysis with subgroups using frequentist methods (also a tool for writing reviews according to Cochrane standards).Ĭomplex pairwise meta-analysis and meta-regression using frequentist methods.Ĭonverting differently reported outcome data (for example, medians and confidence intervals versus means and standard errors) to the scale needed for analysis. See GeMTC for Evidence Synthesis and GeMTC See ADDIS: Aggregate Data Drug Information System and ADDIS Advanced methods such as network meta-analysis and network meta-regression in the Bayesian framework.
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