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In order to measure the amount of temporal bias observed in each condition, the individual frequencies of "longer" responses were converted into probabilites and a logistic model was fitted to the data of each participant as a function of the duration of the test stimulus (from 150 to 450 ms).
Scatter plots in Figure 2 show responses of each participant as a function of each question.
The comparison stimuli were the same as in Experiment 1. Cumulative Gaussian functions were fitted to the proportion of 'bigger' responses given by each participant as a function of comparison stimulus size.
Psychometric functions were fitted to the proportion of 'bigger' responses given by each participant as a function of comparison stimulus size (please refer to the Results section for details on fitting and exclusion criteria).
Mean percentages of correctly identified letters were calculated for each participant as a function of hand condition (static or dynamic), hand position (near, intermediate, or far), stimulus duration (27, 40, 53, 66, or 80 ms), and letter position (left, middle, or right).
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Figure 3D,E shows the average (± s.e.m) redilation kinetics of the PIPR (exponential time-constant) with the 488 nm and the 610 nm lights (n = 11 participants) as a function of circadian time and modelled (Eq 1) over 24 hours with the skewed baseline cosine function (R2 = >0.38).
Characteristics of the participants as a function of the presence of metabolic syndrome are shown in Table 1.
Table 1 presents the characteristics of participants as a function of new-onset DepS separately for men and women.
Characteristics of the participants as a function of cumulative exposure to the metabolic syndrome are presented in Table 1.
The demographic and clinical characteristics of study participants, as a function of the presence or absence of all three symptoms, are shown in Table 1.
Differences in baseline characteristics of participants as a function of the number hospitalizations from all-causes were assessed using one-way anova.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com