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This skill empowers users to conduct sophisticated Multilevel Network Meta-Regression (ML-NMR) by bridging the gap between Individual Patient Data (IPD) and Aggregate Data (AgD). Following NICE DSU TSD 18 standards and the 'multinma' R package documentation, it provides detailed frameworks for population adjustment, numerical integration, and prior specification. It is particularly useful for clinical researchers and health economists who need to synthesize evidence across heterogeneous trial populations, ensure model consistency, and predict treatment effects for specific target populations in health technology assessments.
