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Allometric Scaling: Analysis of LD 50 Data
Author(s) -
BurzalaKowalczyk Lidia,
Jongbloed Geurt
Publication year - 2011
Publication title -
risk analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.972
H-Index - 130
eISSN - 1539-6924
pISSN - 0272-4332
DOI - 10.1111/j.1539-6924.2010.01542.x
Subject(s) - scaling , statistics , allometry , data set , confidence interval , contrast (vision) , set (abstract data type) , regression analysis , variance (accounting) , mathematics , computer science , biology , ecology , artificial intelligence , geometry , accounting , business , programming language
The need to identify toxicologically equivalent doses across different species is a major issue in toxicology and risk assessment. In this article, we investigate interspecies scaling based on the allometric equation applied to the single, oral LD 50 data previously analyzed by Rhomberg and Wolff. ( 1 ) We focus on the statistical approach, namely, regression analysis of the mentioned data. In contrast to Rhomberg and Wolff's analysis of species pairs, we perform an overall analysis based on the whole data set. From our study it follows that if one assumes one single scaling rule for all species and substances in the data set, then β= 1 is the most natural choice among a set of candidates known in the literature. In fact, we obtain quite narrow confidence intervals for this parameter. However, the estimate of the variance in the model is relatively high, resulting in rather wide prediction intervals.