Exact(1)
In a second, random condition, Taraban exposed participants to all phrases in random order, as had Brooks et al. (1993).
Similar(59)
For the GLMMs testing the effect of treatment on the proportion of fixes in each behavioural state, a second random intercept effect was included to account for date effects such as moon state and weather variation across the tracking period.
NHANES 1999 2004 measured urine metals in a third random sample of the study population, leaving 3,496 participants available for analyses based on urine cadmium.
These contrast images were used in a second level random effects analysis.
In a second level random effects group analysis, individual regionally specific effects of conditions for each subject were compared using a within-subject ANOVA (2×2 design with the factors regulation condition (regulation, no regulation) and valence (negative, neutral) with non-sphericity correction resulting in a t-statistic for every voxel.
These slopes were then compared across conditions in a second level random effects paired t-test analysis.
Starting in 1999, urine cadmium was measured in a one-third random subsample of NHANES participants only.
By using the cumulative sum test, Kang and Lee [18] studied the problem of testing for a parameter change in a first-order random coefficient integer-valued autoregressive model.
Within-group activation (e.g., "gain versus neutral outcome") and intergroup differences can be compared by including the BOLD response variations of all subjects in each group in a second-level random effects analysis.
These subject-level images were included in a second-level random effects ANOVA (analysis of variance) which modeled the diagnostic group effect (schizophrenia, bipolar and control) and included task difficulty as intra-subject factor and gender, age and antipsychotic dosage (chlorpromazine equivalent) as potential confounding factors.
In a second step, a random subset D train ⊂ D normal is taken as training set.
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