Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Letter
  • Published:

Errors of Treatment Comparisons when Observations are Missing

Abstract

IN a randomized block experiment With J blocks and K treatments, for which σ 2 is the variance of the random component of the observations and for which no observations are missing, the estimated difference of the means of two treatments has variance 2σ2/J. For the case where some observations are missing, Yates1 has shown how the missing values may be estimated, a valid analysis of variance carried out, and an unbiased estimate of the difference of means of two treatments obtained. He has given the variance of this estimate for the case of only one missing observation, and has suggested an approximation for use in other cases which may be expressed as follows.

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  1. Yates, F., Emp. J. Exp. Agric., 1, 129 (1933).

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

TAYLOR, J. Errors of Treatment Comparisons when Observations are Missing. Nature 162, 262–263 (1948). https://doi.org/10.1038/162262a0

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1038/162262a0

This article is cited by

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing