Skip to main content
. 2013 Mar 19;8(3):e58607. doi: 10.1371/journal.pone.0058607

Table 2. Analysis of variance of model response to drug effects.

Simulated drug effect F value p value
alpha2 0.01 0.916
AMPA gmax 1.76 0.185
AMPA τ2 25.14 6.00E-07 *
NMDA 21.17 4.55E-06 *
CR proj 0.35 0.554
alpha2:AMPA gmax 0.92 0.338
alpha2:AMPA τ2 1.23 0.268
AMPA gmax:AMPA τ2 13.43 2.56E-04 *
alpha2:NMDA 6.52 0.011
AMPA gmax:NMDA 5.24 0.022
AMPA τ2:NMDA 0.01 0.914
alpha2:CR proj 1.78 0.182
AMPA gmax:CR proj 10.44 0.001
AMPA τ2:CR proj 68.18 3.29E-16 *
NMDA:CR proj 1.91 0.167
alpha2:AMPA gmax:AMPA τ2 0.84 0.358
alpha2:AMPA gmax:NMDA 0.48 0.490
alpha2:AMPA τ2:NMDA 1.53 0.217
AMPA gmax:AMPA τ2:NMDA 1.57 0.211
alpha2:AMPA gmax:CR proj 0.37 0.545
alpha2:AMPA τ2:CR proj 4.19 0.041
AMPA gmax:AMPA τ2:CR proj 1.11 0.292
alpha2:NMDA:CR proj 2.69 0.101
AMPA gmax:NMDA:CR proj 4.21 0.040
AMPA τ2:NMDA:CR proj 13.34 2.70E-04 *
*

p < 0.001

Using the wellness metric (see text), as the outcome variable, 97 of 1,500 simulated medications produced non-zero values. ANOVA of this output, using parameters for drug effects as factors, is shown. Highly significant effects (p < 0.001) are indicated. CR proj  =  CR+ projection.