We are sorry, but NCBI web applications do not support your browser and may not function properly. More information
Fig. 1

Fig. 1. From: Verification of predicted robustness and accuracy of multivariate analysis.

Top: Accuracy, sensitivity and specificity of the PCA/FDA discrimination analysis trained on the original sample of 42 subjects (grey) and verified on the ADNI sample (black). Middle: Accuracy of the ADNI sample with matched scanner type and reconstruction method to that of the original sample. Bottom: Model selection using CV, the .632 bootstrap, the largest principal angle between PCA subspaces (median angle shown) and deliberate clinical misdiagnosis simulation (shown are the median with the range of the dispersion of the accuracy distributions). The performance of the different metrics derived from the original 42-subject sample are compared with the accuracy of the model in the ADNI sample for each choice of the number of PCs.

P.J. Markiewicz, et al. Neuroimage. 2011 June 1;56(3):1382-1385.

Supplemental Content

Filter your results:

Search details

See more...

Recent activity

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
Write to the Help Desk