Day 13: testing hypotheses with t and F contrasts

5 / 22 / 2015

Reading:

• slides from Jeanette Mumford about linear model. There are many slides, but see these between 17 and 77: http://mumford.fmripower.org/2010_summercourse/stat_modeling_2010.pdf

• Two recording commenting these slides - may (or may not) help you going through them:

  • slides 17-51: http://nipy.bic.berkeley.edu/practical_neuroimaging/glm_estimation.avi
  • slides 52-77: http://nipy.bic.berkeley.edu/practical_neuroimaging/hypothesistesting.avi

Day:

• Simple model with intercept and slope

• Constructing your model

  • Motion parameters as confounds;
  • low frequencies as confounds;

• Estimating the parameters

• What is the distribution of the parameters?

  • bias
  • variance

• t and F tests, and associated contrasts, simple Anova;
• Example: Contrasts for motion;
• Correlation between regressors;