关于
The ML-NMR Methodology skill is designed for researchers and data scientists performing complex evidence synthesis, particularly when combining Individual Patient Data (IPD) with Aggregate Data (AgD). It provides deep technical knowledge on using the multinma R package, adhering to NICE DSU standards, and implementing population-adjustment techniques. Whether you are setting up numerical integration points, troubleshooting MCMC convergence in Stan, or interpreting marginal vs. conditional effects for Health Technology Assessment (HTA), this skill ensures your analysis follows rigorous statistical best practices.
