Assessment of inconsistency in meta-analysis by calculating the Decision Inconsistency index (DI) and the Across-Studies Inconsistency (ASI) index. These indices quantify inconsistency taking into account outcome-level decision thresholds.

Conduct network meta-analyses through a graphical user interface using 'bnma',
    'gemtc' and 'netmeta' with additional analysis provided by 'meta' and 'metafor'.
    Frequentist, Bayesian, meta-regression and baseline risk meta-regression analyses
    can all be conducted using a consistent data structure and terminology. Many options are
    provided for downloading publication-ready outputs and analyses can be reproduced
    outside of the application by downloading a 'quarto' file. The interface was generated
    using 'shinyscholar'. The initial version of the app was described by Owen et al. (2018)
    <doi:10.1002/jrsm.1373>, Bayesian ranking visualisations were described by Nevill et al.
    (2023) <doi:10.1016/j.jclinepi.2023.02.016> and metaregression was described by Morris
    et al. (2025) <doi:10.1016/j.jclinepi.2025.111839>.

An ensemble meta-prediction framework to integrate multiple regression 
    models into a current study. Gu, T., Taylor, J.M.G. and Mukherjee, B. (2020) 
    <arXiv:2010.09971>.
    A meta-analysis framework along with two weighted estimators as the ensemble 
    of empirical Bayes estimators, which combines the estimates from the different 
    external models. The proposed framework is flexible and robust in the ways 
    that (i) it is capable of incorporating external models that use a slightly 
    different set of covariates; (ii) it is able to identify the most relevant 
    external information and diminish the influence of information that is less 
    compatible with the internal data; and (iii) it nicely balances the bias-variance 
    trade-off while preserving the most efficiency gain. The proposed estimators 
    are more efficient than the naive analysis of the internal data and other 
    naive combinations of external estimators.