Weighted estimators of the complier average causal effect on restricted mean survival time with observed instrument-outcome confounders.

A major concern in any observational study is unmeasured confounding of the relationship between a treatment and outcome of interest. Instrumental variable (IV) analysis methods are able to control for unmeasured confounding. However, IV analysis methods developed for censored time-to-event data tend to rely on assumptions that may not be reasonable in many practical applications, making them unsuitable for use in observational studies.

Evaluating center performance in the competing risks setting: Application to outcomes of wait-listed end-stage renal disease patients.

It is often of interest to compare centers or healthcare providers on quality of care delivered. We consider the setting where evaluation of center performance on multiple competing events is of interest. We propose estimating center effects through cause-specific proportional hazards frailty models that allow correlation among a center's cause-specific effects.

State-Level Awareness of Chronic Kidney Disease in the U.S.

Introduction: This study examined state-level variation in chronic kidney disease (CKD) awareness using national estimates of disease awareness among adults in the U.S. with CKD.