POPULATION-ADJUSTED INDIRECT COMPARISONS (MAIC and STC) TSD

TSD 18: Methods for population-adjusted indirect comparisons in submissions to NICE

Appendix D: Worked example of MAIC and STC

Code for R

To download all the documents above in one zip file, click here.

A standard methodology for indirect comparisons is now used routinely in submissions to NICE. This allows estimates on the relative effect of C vs B to be estimated from an AB trial and an AC trial.

Recently, publications have appeared on "Matching-adjusted Indirect Comparisons" (MAICs) and on "Simulated Treatment Comparisons" (STCs). The aim of these methods is to hold out the promise of improving on standard indirect comparisons by using individual patient data (IPD) in a subset of trials to control for imbalances in "baseline characteristics" in the trial evidence.

These methods are now being used increasingly in STA submissions to NICE, particularly when the manufacturer has access to individual patient data on its own AB trial, but only aggregate data on the competitor's AC trial.

The purpose of this TSD is to comment on the reliability of these methods and to provide recommendations on their use in the context of NICE appraisals.

 

Related TSDs on evidence synthesis
Evidence synthesis TSD series

 

To receive notification when new reports or documents are uploaded to this website, please join our mailing list by entering your details on the right of this page or follow us on Twitter @NICE_DSU