Sentence examples for subjects variable from inspiring English sources

Exact(14)

In normal healthy subjects variable levels of HbF are related to the presence of the polymorphism Gγ − 158 (C > T).

Repeated measures analysis of variance was used to assess differences in all variables and across time and treatments, with gender used as a between subjects variable.

We performed repeated measures ANOVA to compare headache intensity per day among groups (within-subjects variable time: headache intensity on days 1 2 3-4-5; among subjects variable group: A vs. B vs. C; and interaction between days and treatment groups).

A repeated-measures ANOVA with the within subjects variables of Trial Block Order (1st, 2nd, 3rd), Change Type (Add, Remove, and None) and the between subjects variable of Spatial Separation (Co-Located and Spatially Separated) was performed on the calculated d' values.

A 4×8×2 repeated ANOVA was performed on the movement score using GROUP (YAC, OAC, Mild PD, Advanced PD) as the between subjects variable and COMPONENT (orient, lift, aim, pronate, grasp, supination I, supination II, return) and MUSIC (no music, music) as the within subjects variable.

In this manner, drug dose (vehicle or antagonists) was the between subjects variable and time was the repeated subjects variable.

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Similar(45)

Treatments were separated by intervening 1 day using a counterbalanced mixed design, with sham or lesion as a between-subjects variable, and drug as within-subjects.

Most behavioral data were analyzed using a repeated measures factorial model containing two between-subjects variables (Group and Gender), and one within-subjects variable (e.g., Blocks of Trials).

Further, a repeated-measures ANOVA with time of assessment (neutral vs. anticipation condition) as within-subjects variable and group (high vs. low SAs) as between-subjects variable was used to investigate state-anxiety differences between the two assessments as measured with the STAI-state.

The research design was a mixed-design ANOVA model with position as a between-subjects variable and property as a within-subjects variable.

Item type was manipulated within subjects, while Group was a between-subjects variable.

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