A Novel Method to Improve Validity and Relevance of Indirect Comparison and Network Meta-Analysis
Precision’s Jeroen Jansen and scientific advisor David Phillippo present an introduction to a novel analysis method, multilevel network meta-regression (ML-NMR). The method addresses several limitations with current methods, including synthesizing networks of any size and availability of IPD or aggregate studies, and – crucially for decision-making – producing estimates in any target population of interest. Moderated by Precision’s Ross Maclean.
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Multivariate network meta-analysis of survival function parameters
Shannon Cope, Keith Chan and Jeroen Jansen present an alternative implementation of flexible NMA models for time-to-event outcomes with a two-step approach using common survival distributions such as exponential, Weibull, Gompertz, log-normal, and log-logistic distributions. This approach provides an evidence synthesis framework for time-to-event outcomes grounded in standard practice of parametric survival analysis that uses the exact event and censor times.