Add to ORKGThe general linear model (GLM) characterizes the rela-tionship between our experimental manipulations and observed data. It allows us to ask questions like: does frontal lobe activity in a memory task depend on age? I
As a consequence of misspecification of the hemodynamic response and noise variance models, tests on...
The validity of inference based on the General Linear Model (GLM) for the analysis of functional mag...
This chapter reviews issues specific to the analysis of functional magnetic resonance imaging (fMRI)...
This article provides an introduction into the statistical analysis of neuroimaging data using the g...
Key assumptions that underlie the application of standard generalized linear models (GLMs) include t...
Functional magnetic resonance imaging (fMRI) is one of the most widely used tools to study the neura...
In explanatory research, as opposed to exploratory research, data analysis is meant to shed light on...
<p>The binomial response variable was correct/wrong choice in the ultimate 32 trials of the 15 focal...
1 Statistical Analysis of fMRI Time-Series 2 Functional Magnetic Resonance Imaging (fMRI) is current...
<p>Linear GLMM results for the relationship between normalised proportion of viewing time and target...
<p>Linear GLMM results for the relationship between normalised proportion of viewing time and target...
Summarization: General Linear Modeling (GLM) is the most commonly used method for signal detection i...
The voxel-wise general linear model (GLM) approach has arguably become the dominant way to analyze f...
Last week in the non-life insurance course, we've seen the theory of the Generalized Linear Models, ...
<p>Univariate GLM showing age, gender, education and gmCBF main effects on attention for younger and...
As a consequence of misspecification of the hemodynamic response and noise variance models, tests on...
The validity of inference based on the General Linear Model (GLM) for the analysis of functional mag...
This chapter reviews issues specific to the analysis of functional magnetic resonance imaging (fMRI)...
This article provides an introduction into the statistical analysis of neuroimaging data using the g...
Key assumptions that underlie the application of standard generalized linear models (GLMs) include t...
Functional magnetic resonance imaging (fMRI) is one of the most widely used tools to study the neura...
In explanatory research, as opposed to exploratory research, data analysis is meant to shed light on...
<p>The binomial response variable was correct/wrong choice in the ultimate 32 trials of the 15 focal...
1 Statistical Analysis of fMRI Time-Series 2 Functional Magnetic Resonance Imaging (fMRI) is current...
<p>Linear GLMM results for the relationship between normalised proportion of viewing time and target...
<p>Linear GLMM results for the relationship between normalised proportion of viewing time and target...
Summarization: General Linear Modeling (GLM) is the most commonly used method for signal detection i...
The voxel-wise general linear model (GLM) approach has arguably become the dominant way to analyze f...
Last week in the non-life insurance course, we've seen the theory of the Generalized Linear Models, ...
<p>Univariate GLM showing age, gender, education and gmCBF main effects on attention for younger and...
As a consequence of misspecification of the hemodynamic response and noise variance models, tests on...
The validity of inference based on the General Linear Model (GLM) for the analysis of functional mag...
This chapter reviews issues specific to the analysis of functional magnetic resonance imaging (fMRI)...