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Q‐mode regression analysis applied to predict the antidotal action of bispyridinium oximes in intoxications with organophosphorus poisons
Author(s) -
Mager Peter P.
Publication year - 1983
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.19830250303
Subject(s) - tabun , sarin , soman , chemistry , regression analysis , toxicology , computational chemistry , mathematics , statistics , organic chemistry , biology , acetylcholinesterase , enzyme
There are some serious pitfalls if the usual multiple and multivariate regression analysis are applied to correlate the biological activity of compounds against parameters describing the chemical molecule structure if the observations consist of an inhomogeneous data set. By contrast to the more known methods of cluster analysis, it must be required that a partition into homogeneous groups is possible and, in addition, that the members inside any group are normally distributed. The principle of the Q‐mode regression analysis dealing with that problem is exemplified on the antidotal action of bispyridinium oximes in intoxication with organophosphorus poisons (soman, tabun, sarin, VX).