Evidence Factors in Fuzzy Regression Discontinuity Designs with Sequential Treatment Assignments.

ABSTRACT: Many observational studies often involve multiple levels of treatment assignment. In particular, fuzzy regression discontinuity (RD) designs have sequential treatment assignment processes: first based on eligibility criteria, and second, on (non-)compliance rules. In such fuzzy RD designs, researchers typically use either an intent-to-treat approach or an instrumental variable-type approach, and each is subject to both overlapping and unique biases. This article proposes a new evidence factors (EFs) framework for fuzzy RD designs with sequential treatment assignments, which may be influenced by different levels of decision-makers. Each of the proposed EFs aims to test the same causal null hypothesis while potentially being subject to different types of biases. Our proposed framework utiliz

SUBMITTER: Lee Y 

PROVIDER: S-EPMC12660022 | biostudies-literature | 2025 Sep

REPOSITORIES: biostudies-literature