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  • 8. Statistics

8. Statistics¶

  • 8.1. Gang’s Stats Blog
  • 8.2. When and how to center a variable?
    • 8.2.1. Major points
    • 8.2.2. Usage clarifications of “covariate”
    • 8.2.3. Purpose of modeling a quantitative covariate
  • 8.3. Deconvolution Analysis of FMRI Time Series Data
    • 8.3.1. Abstract
    • 8.3.2. ... Full Enlightenment
  • 8.4. Nonlinear Regression Analysis of FMRI Time Series Data (NLfim)
    • 8.4.1. Abstract
    • 8.4.2. ... Full Enlightenment
  • 8.5. Notes on 3dREMLfit
    • 8.5.1. Background: time series censoring approaches
    • 8.5.2. Are the censoring approaches the same for 3dREMLfit?
    • 8.5.3. Attributes in the 3dREMLFIT *.xmat.1D format
  • 8.6. Analysis of Variance (ANOVA)
    • 8.6.1. Abstract
    • 8.6.2. Program 3dANOVA
    • 8.6.3. ... Full Enlightenment
  • 8.7. Multivariate modeling (MVM) approach for group analysis
    • 8.7.1. Introduction
    • 8.7.2. Why another group analysis program?
    • 8.7.3. How is 3dMVM compared to 3dANOVAx?
    • 8.7.4. How is 3dMVM compared to GroupAna?
    • 8.7.5. How is 3dMVM compared to 3dLME?
    • 8.7.6. 3dMVM usage
  • 8.8. Linear Mixed-Effects (LME) Modeling
    • 8.8.1. Introduction
  • 8.9. Mixed-Effects Meta Analysis (MEMA)
    • 8.9.1. Theoretical background
    • 8.9.2. MEMA Modeling
    • 8.9.3. How to use 3dMEMA to handle multiple groups
    • 8.9.4. Running 3dMEMA inside R
    • 8.9.5. Acknowledgements
  • 8.10. False Discovery Rate (FDR)
    • 8.10.1. Program 3dFDR
    • 8.10.2. ... Full Enlightenment
  • 8.11. Nonparametric Statistical Analysis of FMRI Data
    • 8.11.1. Abstract
    • 8.11.2. ... Full Enlightenment








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Table of Contents

  • 1. Installation and Background
  • 2. Starting with AFNI
  • 3. Educational resources
  • 4. All program helps
  • 5. AFNI Codex: Code Examples from publications
  • 6. SUMA
  • 7. FATCAT
  • 8. Statistics
    • 8.1. Gang’s Stats Blog
    • 8.2. When and how to center a variable?
    • 8.3. Deconvolution Analysis of FMRI Time Series Data
    • 8.4. Nonlinear Regression Analysis of FMRI Time Series Data (NLfim)
    • 8.5. Notes on 3dREMLfit
    • 8.6. Analysis of Variance (ANOVA)
    • 8.7. Multivariate modeling (MVM) approach for group analysis
    • 8.8. Linear Mixed-Effects (LME) Modeling
    • 8.9. Mixed-Effects Meta Analysis (MEMA)
    • 8.10. False Discovery Rate (FDR)
    • 8.11. Nonparametric Statistical Analysis of FMRI Data
  • 9. Templates & Atlases
  • 10. Non-human processing
  • 11. Tutorials, Examples
  • 12. Demo Material
  • 13. Developer Documentation
  • 14. References, papers and citations
  • 15. Contributors
  • 16. Glossary
  • 17. Main AFNI pages

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