By: Nana Appiah Acquaye
The
Mohammed VI Center for Research and Innovation has organised a specialized
training session on Indirect Treatment Comparison (ITC), Network Meta-Analysis
(NMA), and Matching-Adjusted Indirect Comparison (MAIC) methods, in
collaboration with Johnson & Johnson Laboratories.

The
session was designed to strengthen the capacity of participating teams in the
comparative analysis of medical treatments, particularly in contexts where
direct clinical trial data are limited or unavailable. Through the training,
participants explored the methodological foundations of ITC and NMA and
examined key distinctions between frequentist and Bayesian analytical
approaches.
The
programme also covered advanced comparative techniques, including
Matching-Adjusted Indirect Comparison, Simulated Treatment Comparison (STC),
and Multilevel Network Meta-Regression (ML-NMR). These methods are increasingly
used to generate robust comparative evidence to support healthcare
decision-making.

According
to the organizers, the training will contribute to improving the quality of
evidence used in reimbursement decisions, economic evaluations, and the
assessment of new therapeutic options. The initiative reflects ongoing efforts
to enhance research and analytical capabilities in Morocco’s health sector and
to support the informed integration of innovative treatments into the national
healthcare system.