Sensitivity analysis for time-to-event data accounting for intra-individual variability in time-varying covariates with missing data.

ABSTRACT: The Delta-Adjusted (DA) approach in multiple imputation (MI) is applied under several key assumptions in the Cox hazard model, where two time-dependent covariates have missing observations. Missingness in these covariates is assumed to be not missing at random (NMAR) and is modeled through delta adjustments, with different delta values specified to capture deviations from the missing at random (MAR) assumption. Within the MI framework, missing values are imputed under various plausible missingness scenarios while preserving the relationship between time-dependent covariates and the event-time outcome. Event-time dependence is accounted for by assuming that missingness in covariates is influenced by an individual's treatment response or disease progression, thereby capturing intra-individua

SUBMITTER: Liaqat M 

PROVIDER: S-EPMC12289879 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature