Skip to main content

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

The Original Article was published on 03 December 2019

Correction to: BMC Med Res Methodol

In the original publication of this article [1], the incorrect causal diagram was submitted as Fig. 1. The figure published in the original article depicts an exposure measured at two study waves. The correct causal diagram is presented in two panels and represents the relationship between an exposure measured at a single study wave and the outcome. This correction does not impact the original figure legend or manuscript. The corrected Fig. 1 is shown below.

Fig. 1
figure 1

Causal diagram for the effect of iron intake on age-related macular degeneration. V represents the vector of participant demographics (e.g. age and sex) recorded at baseline. Exposure, A, is also recorded at baseline. Z is an indicator of survival until the start of the follow-up wave. R is an indicator of attendance at the follow-up study wave when outcome (Y, age-related macular degeneration) was ascertained. An indicator genotype, U, is unmeasured, as is D, an indicator for area of residence. a A scenario where missing outcome data are missing at random. b Conditioning on Z (a collider between the exposure and U) will unblock the backdoor pathway (dashed line) from the exposure to the outcome through U


  1. McGuinness, et al. BMC Med Res Methodol. 2019;19:223.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations


Corresponding author

Correspondence to Myra B. McGuinness.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

McGuinness, M.B., Kasza, J., Karahalios, A. et al. Correction to: A comparison of methods to estimate the survivor average causal effect in the presence of missing data: a simulation study. BMC Med Res Methodol 20, 40 (2020).

Download citation

  • Published:

  • DOI: