关于
This skill empowers Claude to perform sophisticated subgroup analyses, enabling researchers to identify how treatment effects or observations vary across different populations or study conditions. It automates the process of testing pre-specified moderators, calculating interaction effects, and performing meta-regressions. By incorporating best practices like Bonferroni corrections and interaction tests, the skill helps prevent Type I error inflation and ensures that exploratory findings are interpreted with the necessary statistical caution.
