Exact(60)
Details of statistical parameters used for the development of IC50 based QSAR models; Table S3.
Details of chemical descriptors used in the development of IC50 based QSAR models; Table S5.
Overall, all model ensembles (Table 2D) exhibited higher predictive power than single models (Table 2A).
All the models that have been analyzed previously are static models (Table 5).
Details of statistical parameters used for the development of percent inhibition based QSAR models; Table S4.
Therefore, different theoretical models (Table 1) were applied to the experimental data.
The following table shows the assignment of selected variables to defined models (Table 2).
The model which recorded a similar value was bccr as compared to other models (Table 4).
Details of chemical descriptors used in the development of percent inhibition based QSAR models; Table S6.
Models adjusted for grade, gender, ethnicity and living situation were consistent with univariable models (Table 1).
No improvement of the fit was observed with three and four components models (Table 1).
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