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