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. 2022 Oct 13;11(10):19. doi: 10.1167/tvst.11.10.19

Table 2.

Performance of Linear and MARS Models in Predicting eRGC From Time and Time–Frequency Features Derived From ERGs

Linear MARS
R 2 P a R 2 P a P, Linear vs. MARS
Model 1: Markers 0.21 (0.07) 0.34 (0.06) 0.004
Model 2: DWT + markers 0.41 (0.08)b 0.001 0.53 (0.07)b 0.011 0.055
Model 3: MP + markers 0.43 (0.08)b 0.001 0.63 (0.08)b <0.001 0.002
Model 4: DWT + MP + markers 0.50 (0.09)b 0.001 0.63 (0.07)b 0.001 <0.001

Model 1 was informed by the amplitudes of the a-wave, b-wave, i-wave, PhNR1, and PhNR2. Numbers in parentheses indicate standard deviation from the bootstrap resampling.

a

When compared to model 1.

b

Not significantly different at P < 0.05 for pairwise comparisons among models 2, 3, and 4 for the linear and MARS models separately.