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AFNI, SUMA and FATCAT: v21.0.05
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7.
Statistics
7.
Statistics
¶
7.1.
When and how to center a variable?
7.1.1. Major points
7.1.2. Usage clarifications of “covariate”
7.1.3. Purpose of modeling a quantitative covariate
7.2.
Notes on 3dREMLfit
7.2.1. Background: time series censoring approaches
7.2.2. Are the censoring approaches the same for 3dREMLfit?
7.2.3. Attributes in the 3dREMLFIT *.xmat.1D format
7.3.
Multivariate modeling (MVM) approach for group analysis
7.3.1. Introduction
7.3.2. Why another group analysis program?
7.3.3. How is 3dMVM compared to 3dANOVAx?
7.3.4. How is 3dMVM compared to GroupAna?
7.3.5. How is 3dMVM compared to 3dLME?
7.3.6. 3dMVM usage
7.4.
Linear Mixed-Effects (LME) Modeling
7.4.1. Introduction
7.5.
Mixed-Effects Meta Analysis (MEMA)
7.5.1. Theoretical background
7.5.2. MEMA Modeling
7.5.3. How to use 3dMEMA to handle multiple groups
7.5.4. Running 3dMEMA inside R
7.5.5. Acknowledgements
Table of Contents
1. Installation and Background
2. Educational resources
3. All program helps
4. Publication-based code examples
5. SUMA
6. FATCAT
7. Statistics
7.1.
When and how to center a variable?
7.2.
Notes on 3dREMLfit
7.3.
Multivariate modeling (MVM) approach for group analysis
7.4.
Linear Mixed-Effects (LME) Modeling
7.5.
Mixed-Effects Meta Analysis (MEMA)
8. Templates & Atlases
9. Non-human processing
10. Tutorials, Examples
11. Demo Material
12. Developer Documentation
13. References, papers and citations
14. Contributors
15. Glossary
16. Main AFNI pages
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