This skill provides a comprehensive framework for conducting Network Meta-Analysis (NMA) in R, allowing researchers to synthesize evidence from multiple treatment comparisons simultaneously. It covers the full analytical pipeline—from data preparation (pairwise and arm-level) and network visualization to sophisticated frequentist and Bayesian modeling using industry-standard packages like netmeta, gemtc, and multinma. Designed for biostatisticians and clinical researchers, the skill includes specialized patterns for assessing network consistency, evaluating heterogeneity, generating treatment rankings via SUCRA or P-scores, and performing advanced meta-regression to ensure rigorous evidence synthesis.
