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. 2019 May 10;1(2):240–258. doi: 10.3390/clockssleep1020021

Table 2.

Statistical outputs of the GLMMs seeking for associations between alertness and attention measures and pupil size measures.

Steady-State
Pupil Size
Circadian Phase Steady-State Pupil Size x Circadian Phase
Dependent variables Subjective sleepiness F1,199.7 = 0.03
p = 0.87
F12,158 = 2.65
p = 0.03
R2β* = 0.17
F12,157 = 1.23
p = 0.27
PVT mean reaction times F1,178.8 = 5.69
p = 0.02
R2β* = 0.03
F12,165.1 = 0.98
p = 0.47
F12,165.1 = 0.65
p = 0.8
Relative theta power F1,147.4 = 1.19
p = 0.28
F12,143.7 = 1.31
p = 0.22
F12,143 = 1.00
p = 0.46
Fatigue F1,196.4 = 0.03
p = 0.86
F12,165.2 = 2.93
p = 0.001
R2β* = 0.18
F12,164.8 = 1.14
p = 0.33
Pupil size
variability
Circadian phase Pupil size variability x circadian phase
Dependent variables Subjective sleepiness F1,187.6 = 2.75
p = 0.099
F12, 159.1 = 3.58
p < 0.001
R2β* = 0.21
F12,157.1 = 0.99
p = 0.46
PVT mean reaction times F1,10,65 = 0.2
p = 0.66
F12,163.1 = 0.9
p = 0.55
F12,150.3 = 1.64
p = 0.085
Relative theta power F1,173.9 = 1.22
p = 0.27
F12,144.4 = 1.80
p = 0.059
F12,142 = 1.21
p = 0.29
Fatigue F1,183.7 = 1.61
p = 0.21
F12,167.6 = 8.49
p < 0.0001
R2β* = 0.38
F12,166.1 = 2.54
p = 0.004
R2β* = 0.16

Each dependent variable was included in a separate GLMM including pupil measure, circadian phase, and their interaction. Degrees of freedom were computed following Kenward-Roger method. Significant linear links are in bold and statistical trends (p < 0.1) are in italic. R2β* represents semi-partial R2 as proposed by [41] (see methods). GLMMs were set according to dependent variables distribution.