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#12 category * p < 0.05 **p < 0.01 ***p < 0.001 Potential interactions between predictor variables and stigma types were investigated using a series of Mixed Between-within subjects Analyses of Variance (Between variable = Predictor; Within Variable = Stigma Type).
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Typically, for single-subject analyses of PET studies in awake patients, an uncorrected p value less than 0.001 is used for cut-off [14, 44].
The within-subject analyses of variance were carried out on the behavioral data from trials classified as correct (compliant with instructions) based on the eye movement recordings (see Methods).
Thirdly, the correlation analyses in the current study rely on between-subject analyses of a limited number of subjects.
Further within-subject analyses of trials with large and small item-memory effects confirm a temporal dependency between the 500 600 ms context-memory effect and the frontotemporal, but not the occipitotemporal, item-memory effect (see Supplemental Information).
All the physiological and biochemical data was subjected analyses of variance (ANOVA) and mean values were compared by the Tukey test (p < 0.05) using the software Origin (OriginLab, USA).
Our single subject analyses of the fMRI data revealed that in our main ROI, using a low statistical threshold (P < 0.05, uncorrected), all 16 subjects activated 10 or more voxels for pictures relative to words and 9/16 subjects activated one or more voxels for words relative to pictures (Table I).
She has written publications on various subjects including analyses of the effectiveness of sanctions, UN and regional peacekeeping missions, and the UN Peacebuilding Commission.
We had complete information for 1,408 subjects for analyses of the association between exposure to NO2 and HRV.
In case of missing data, we provide the number of subjects analysed.
The obtained protein hydrolysates were then subjected to analyses of non-heme iron content, PV, and TBARS as previously described.
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