A comparison of methods to estimate the survivor average causal effect in the presence of missing data: a simulation study.

ABSTRACT:

Background

Attrition due to death and non-attendance are common sources of bias in studies of age-related diseases. A simulation study is presented to compare two methods for estimating the survivor average causal effect (SACE) of a binary exposure (sex-specific dietary iron intake) on a binary outcome (age-related macular degeneration, AMD) in this setting.

Methods

A dataset of 10,000 participants was simulated 1200 times under each scenario with outcome data missing dependent on measured and unmeasured covariates and survival. Scenarios differed by the magnitude and direction of effect of an unmeasured confounder on both survival and the outcome, and whether participants who died following a protective exposure would also die if they had not received the exposure (validity

SUBMITTER: McGuinness MB 

PROVIDER: S-EPMC6892197 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature