Hostname: page-component-cc8bf7c57-llmch Total loading time: 0 Render date: 2024-12-12T04:53:40.525Z Has data issue: false hasContentIssue false
  • English
  • Français

On combining estimates of relative potency in bioassay

Published online by Cambridge University Press:  15 May 2009

B. M. Bennett
B. M. Bennett
Affiliation:
The Department of Preventive Medicine, University of Washington, Seattle 5, Washington U.S.A.
Rights & Permissions [Opens in a new window]

Extract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Biological assays based on a quantitative response in particular (e.g. hormone assays) typically involve the estimation of (log) relative potency (= M) with respect to some standard preparation on the basis of one or more symmetrical determinations usually at equally spaced (log) dose intervals. It is the purpose of this paper to consider further statistical aspects of estimates of M, and especially confidence limits for M based on a combination of separate assays. These are given as examples of tests of linear hypotheses. Two applications are given on the combining of quantitative bio-assay data.

Type
Research Article
Information
Journal of Hygiene , Volume 60 , Issue 3 , September 1962 , pp. 379 - 385
Copyright
Copyright © Cambridge University Press 1962

References

Fieller, E. C. (1944). A fundamental formula in the statistics of biological assay. Quart. J. Pharm. 17, 117.Google Scholar
Fieller, E. C., Creasy, M. A. & David, S. T. (1954). Symposium on interval estimation. J. R. statist. Soc., B16, 175.Google Scholar
Finney, D. J. (1952). Statistical Method in Biological Assay. London: Griffin and Co. Ltd.Google Scholar
Irwin, J. O. (1950). Biological assays with special reference to biological standards. J. Hyg., Camb., 48, 216.CrossRefGoogle ScholarPubMed
Kolodziejczyk, St. (1935). On an important class of statistical hypotheses. Biometrika, 27, 161.Google Scholar
Tocher, K. (1952). On the concurrence of a set of regression lines. Biometrika, 40, 297.Google Scholar