Like all statistical analyses, network meta-analysis relies on a specific set of assumptions. In this second post, we’ll look at the key assumptions of network meta-analysis. In order to... read more →
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Most network meta-analyses will consist of six key stages - developing the protocol, performing the systematic review, conducting the feasibility assessment, preparing the statistical analysis plan, running the analyses and... read more →
In this post we examine the statistical software available for conducting Bayesian network meta-analyses (NMA). The first two sections provide some background information and a review of the available... read more →
In an ideal world, a single randomized controlled trial (RCT) would be used to compare and evaluate the individual treatment effects for all possible treatments of interest. Of course, this... read more →
When comparing trial outcomes using standard network meta-analysis (NMA), the assumption is that populations in different trials do not differ in any characteristics that may impact the treatment effect... read more →
In this blog we will describe an alternative approach to indirect comparison - Simulated Treatment Comparison (STC) and discuss the key aspects to consider when looking to use the... read more →
This is the third blog in our trilogy on techniques for population adjustment in network meta-analysis (NMA). Here we will focus on an approach called Multi-Level Network Meta-Regression (ML-NMR),... read more →
Population Pharmacokinetics (PopPK) is the gold standard method of understanding drug safety and efficacy, particularly as it provides a unique insight into the variation of drug behaviour from person... read more →