Unless you’ve been hiding under a rock for the past few months (and, honestly, who could blame you), you will have interacted with artificial intelligence (AI) in some form. Whether it’s using ChatGPT to write an email to that one client you wish would go to your competitor or bemoaning the vagaries of the TikTok…
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 to person. While not a novel methodology—Sheiner, Rosenberg and Marathe first demonstrated the analysis in 1977—techniques and approaches in PopPK have undergone continual improvement in the…
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), which improves on several aspects of the methods we described in our first two blogs – Matching Adjusted Indirect Comparison (MAIC), and Simulated Treatment Comparison (STC)….
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 technique. We will discuss the situations when we would recommend using the method instead of a Matching Adjusted Indirect Comparison (MAIC). HTA submissions often involve…
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 (see this blog for an introduction to the concept of NMA). If this assumption is not true, these study differences then need to be accounted for…