Introduction to Bayesian statistical approaches to compositional analyses of transgenic crops 1. Model validation and setting the stage

► Bayesian models are applied to studies of protein and fat composition of GM soybean. ► Bayesian approaches provide simple, direct comparisons of different treatments. ► Bayesian methods offer advantages over statistical significance testing. ► Guidelines for conducting Bayesian analyses in regulatory studies are proposed.