Find out about our network meta analysis services Welcome to Quantics' health technology assessment blog. This blog will explore some of the statistical aspects of health technology assessment, including... read more →
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Like all statistical analyses, network meta-analysis relies on a specific set of assumptions. Here, we’ll look at the key assumptions of network meta-analysis. In order to draw valid conclusions... read more →
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 →