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Time-series data were analyzed using a general linear model extended by generalized estimation equations (GEE).
Time-series data were analyzed by using a general linear model extended by generalized estimation equations (GEEs).
Thereafter, statistical analyses on a single subject level were performed using a general linear model (GLM).
The PL treatments were performed in triplicate and data were analyzed using a general linear model.
Differences between patients and controls for VBM analysis were evaluated using a general linear model (GLM), through pre-processed images.
Data were analysed with analysis of variance (ANOVA) using a General linear model (GLM) of statistical analysis system (SAS 2002).
Balance data were analyzed using a general linear model procedure with horse, period and treatment as main effects.
Quantitative trait studies were performed using a general linear model.
Individual task-related activation was evaluated in a first step using a general linear model.
Condition-specific effects were estimated using a general linear model (GLM) approach.
Data were analyzed using a General Linear Model (GLM) with separate predictors for each trial type.
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