Co-Developing Causal Graphs with Domain Experts Guided by Weighted FDR-Adjusted p-values
以加权多重检验调整后的 p 值辅助领域专家共建因果图
This paper proposes an approach facilitating co-design of causal graphs between subject matter experts and statistical modellers. Modern causal analysis starting with formulation of causal graphs provides benefits for robust analysis and well-grounded decision support. Moreover, this process can enrich the discovery and planning phase of data science projects. The key premise is that plotting relevant statistical information on a causal graph structure can facilitate an…