Chapter One: Introduction


Chapter Two: Principles of Bayesi an Statistics


Chapter Three: WinBUGS (and a little bit on R)
Chapter Four: A First Session in WinBUGS: The 'Model of the Mea n'


Chapter Five: Running WinBUGS from R via R2WinBUGS


< P>Chapter Six: Key Components of Generalized Linear Models: Statistical Distributions and the Linear Predictor


Chapter Seven: T-Test: Equal and Unequal Variance


Chapter Eight: Normal Linear Regres sion


Chapter Nine: Normal One-Way ANOVA


Chapter Ten: Interaction


Chapter Eleven: General Linear Model (ANCOVA)


Chapter Twelve: Linear Mixed-Effects Model


Chapter Thir teen: Introduction to the Generalized Linear Model (GLM): Poisson T-Test


Chapter Fourteen: Over dispersion and Offsets in the GLM

< br>Chapter Fifteen: Poisson ANCOVA


Chapter Sixteen: Poisson Mixed-Effects Model (Poisson GLMM)


Chapter Seventeen: Binomia l T-Test


Chapter Eighteen: Binomial ANCOVA


Chapter N ineteen: Binomial Mixed-Effects Model (Binomial GLMM)


Chapter