Statistical model and estimation method, inference type (mixed/random effects or fixed), e.g., “Mixed effects inference with one sample t-test on summary statistic” (SPM2/SPM5), e.g., “Mixed effects inference with Bayesian 2-level model with fast approximation to posterior probability of activation.” (FSL)
If fixed effects inference used, justify
If more than 2-levels, describe the levels and assumptions of the model (e.g., are variances assumed equal between groups)
Repeated measures?
If multiple measurements per subject, list method to account for within subject correlation, exact assumptions made about correlation/variance
e.g., SPM: “Within-subject correlation estimated at F-significant voxels (P <0.001), then used globally over whole brain”; or, if variances for each measure are allowed to vary, “Within-subject correlation and relative variance estimated…”