Sensitivity analysis for principal ignorability violation in estimating complier and noncomplier average causal effects.

ABSTRACT: An important strategy for identifying principal causal effects (popular estimands in settings with noncompliance) is to invoke the principal ignorability (PI) assumption. As PI is untestable, it is important to gauge how sensitive effect estimates are to its violation. We focus on this task for the common one-sided noncompliance setting where there are two principal strata, compliers and noncompliers. Under PI, compliers and noncompliers share the same outcome-mean-given-covariates function under the control condition. For sensitivity analysis, we allow this function to differ between compliers and noncompliers in several ways, indexed by an odds ratio, a generalized odds ratio, a mean ratio, or a standardized mean difference sensitivity parameter. We tailor sensitivity analysis techniques

SUBMITTER: Nguyen TQ 

PROVIDER: S-EPMC11995412 | biostudies-literature | 2024 Aug

REPOSITORIES: biostudies-literature