关于
This skill empowers researchers and data scientists to conduct sophisticated meta-analyses within the Claude environment. It provides a comprehensive library of Bayesian models ranging from simple fixed and random effects to complex network meta-analyses (NMA) and selection models for publication bias. By offering standardized implementations in both Stan and JAGS, it facilitates rigorous statistical synthesis of clinical trials, behavioral studies, or experimental data, ensuring best practices in prior selection and heterogeneity estimation are followed.
