Hostname: page-component-7bb8b95d7b-495rp Total loading time: 0 Render date: 2024-10-05T04:20:30.443Z Has data issue: false hasContentIssue false

The value of repeated observations in biological sampling

Published online by Cambridge University Press:  27 March 2009

A. W. Boyne
Affiliation:
Rowett Research Institute, Bucksburn, Aberdeenshire
W. A. Greig
Affiliation:
Rowett Research Institute, Bucksburn, Aberdeenshire

Extract

1. By separating the sources of variability in an experiment involving haematological observations it has been shown how to estimate the usefulness of repeated observations on each animal.

2. In the illustration provided it is concluded that when monozygous twin calves are used, random variability accounts for so much of the total variability that a great improvement in accuracy can be achieved by taking repeated observations on each animal. When unrelated calves are used, little additional accuracy is obtainable by taking more than about three observations on each.

3. It is shown that, in consequence, the relative efficiency of monozygous twin and unrelated calves is likely to vary, depending upon the number of observations on each animal. Thus, to benefit fully from the increased efficiency offered by monozygous twins, more observations are required on each animal than in the case of unrelated animals.

4. Although the figures refer to haematological measurements on calves, the statistical method evolved is of wider application.

Type
Research Article
Copyright
Copyright © Cambridge University Press 1956

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

REFERENCES

Greig, W. A. & Boyne, A. W. (1956). J. Agric. Sci. 47, 150.CrossRefGoogle Scholar
Hunter, G. C. & Quenouille, M. H. (1952). J. Helminth. 26, 157.CrossRefGoogle Scholar
Pearson, E. S. & Hartley, H. O. (1951). Biometrika, 38, 112.CrossRefGoogle Scholar