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To do this we use a general linear model framework with a probit link (details of the model can be found in Materials and Methods).
ANOVAs in SPM use a general linear model approach, which pools the error variance, and are valid for inferences across groups with different n.
The primary analysis will use a general linear model to compare between-group effects on the primary outcome measure, at 4 weeks, 12 weeks and 24 weeks follow-up, with baseline values as covariate.
To control characteristics such as sex, age, and duration of illness, we will use a general linear model or a generalised linear model with log-link function, depending on the variable distribution for the continuous variables and a logistic regression model for a categorical variable.
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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).
Data were analysed using SAS software (version 9.2) 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).
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