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  • AFNI, SUMA and FATCAT: v21.0.05 »
  • 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








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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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