Simple analytical method for evaluation of statistical importance of correlations in QSAR studies

Authors
Citation
J. Pecka et R. Ponec, Simple analytical method for evaluation of statistical importance of correlations in QSAR studies, J MATH CHEM, 27(1-2), 2000, pp. 13-22
Citations number
16
Categorie Soggetti
Chemistry
Journal title
JOURNAL OF MATHEMATICAL CHEMISTRY
ISSN journal
02599791 → ACNP
Volume
27
Issue
1-2
Year of publication
2000
Pages
13 - 22
Database
ISI
SICI code
0259-9791(2000)27:1-2<13:SAMFEO>2.0.ZU;2-0
Abstract
A new general method allowing to evaluate the statistical importance of ind ependent correlations from multilinear QSAR models was proposed. The method is applicable to any multilinear QSAR model involving N experimental point s and M independent parameters. The application of this new method is demon strated on several examples.