Multiple Comparisons Using R

Introduction General Concepts Error rates and general concepts Construction methods Methods based on Bonferroni's inequality Methods based on Simes' inequality Multiple Comparisons in Parametric Models General linear models Extensions to general parametric models The multcomp package Applications Multiple comparisons with a control All pairwise comparisons Dose response analyses Variable selection in regression models Simultaneous confidence bands Multiple comparisons under heteroscedasticity Multiple comparisons in logistic regression models Multiple comparisons in survival models Multiple comparisons in mixed-effects models Further Topics Resampling-based multiple comparison procedures Group sequential and adaptive designs Combining multiple comparisons with modeling Bibliography Index