Exploring Sensitivity Analysis
In this chapter, we’ll thoroughly examine sensitivity analysis within the framework of causal inference. The real power of this approach is in its ability to scrutinize the robustness of causal conclusions against the backdrop of underlying assumptions. Drawing upon the foundational contributions of pioneers such as Cornfield et al. [1], we aim to discover the intricacies of sensitivity analysis, exploring its significance, historical evolution, and practical applications across various domains. This exploration is motivated by a desire to verify the credibility of causal claims while addressing the notable gap in its application within current research practices. Throughout this chapter, you will not only deepen your understanding of sensitivity analysis but also learn how to advocate for its broader adoption so that you can construct causal narratives.
In this chapter, we’ll cover the following topics:
- Introduction to sensitivity...
