This talk introduces several issues in statistical analysis and modeling that are the basis
for techniques specifically used to analyze imaging data. I will begin by describing the
standard linear model of statistics, then look at its extensions to accommodate non-
Gaussian data (the Generalized Linear Model) and data in which the observations are
not independent. Finally, I will discuss the critical problems of multiple tests and the
selection of models.