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  • AFNI, SUMA and FATCAT: v21.1.02 »
  • 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. Deconvolution Analysis of FMRI Time Series Data
    • 7.2.1. Abstract
    • 7.2.2. ... Full Enlightenment
  • 7.3. Nonlinear Regression Analysis of FMRI Time Series Data (NLfim)
    • 7.3.1. Abstract
    • 7.3.2. ... Full Enlightenment
  • 7.4. Notes on 3dREMLfit
    • 7.4.1. Background: time series censoring approaches
    • 7.4.2. Are the censoring approaches the same for 3dREMLfit?
    • 7.4.3. Attributes in the 3dREMLFIT *.xmat.1D format
  • 7.5. Analysis of Variance (ANOVA)
    • 7.5.1. Abstract
    • 7.5.2. Program 3dANOVA
    • 7.5.3. ... Full Enlightenment
  • 7.6. Multivariate modeling (MVM) approach for group analysis
    • 7.6.1. Introduction
    • 7.6.2. Why another group analysis program?
    • 7.6.3. How is 3dMVM compared to 3dANOVAx?
    • 7.6.4. How is 3dMVM compared to GroupAna?
    • 7.6.5. How is 3dMVM compared to 3dLME?
    • 7.6.6. 3dMVM usage
  • 7.7. Linear Mixed-Effects (LME) Modeling
    • 7.7.1. Introduction
  • 7.8. Mixed-Effects Meta Analysis (MEMA)
    • 7.8.1. Theoretical background
    • 7.8.2. MEMA Modeling
    • 7.8.3. How to use 3dMEMA to handle multiple groups
    • 7.8.4. Running 3dMEMA inside R
    • 7.8.5. Acknowledgements
  • 7.9. False Discovery Rate (FDR)
    • 7.9.1. Program 3dFDR
    • 7.9.2. ... Full Enlightenment
  • 7.10. Nonparametric Statistical Analysis of FMRI Data
    • 7.10.1. Abstract
    • 7.10.2. ... Full Enlightenment








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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. Deconvolution Analysis of FMRI Time Series Data
    • 7.3. Nonlinear Regression Analysis of FMRI Time Series Data (NLfim)
    • 7.4. Notes on 3dREMLfit
    • 7.5. Analysis of Variance (ANOVA)
    • 7.6. Multivariate modeling (MVM) approach for group analysis
    • 7.7. Linear Mixed-Effects (LME) Modeling
    • 7.8. Mixed-Effects Meta Analysis (MEMA)
    • 7.9. False Discovery Rate (FDR)
    • 7.10. Nonparametric Statistical Analysis of FMRI Data
  • 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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