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

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 bi...

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Bibliographic Details
Main Authors: Myra B. McGuinness, Jessica Kasza, Amalia Karahalios, Robyn H. Guymer, Robert P. Finger, Julie A. Simpson
Format: Article
Language:English
Published: BMC 2019-12-01
Series:BMC Medical Research Methodology
Subjects:
Causal inference
Death
Iron
Macular degeneration
Missing data
Principal stratification
Online Access:https://doi.org/10.1186/s12874-019-0874-x

Internet

https://doi.org/10.1186/s12874-019-0874-x

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