Question 1: My project involves 2 x 2 factorial design where animals were either subjected to treatment A or B and drug C or D. Each treatment combination was housed in 4 different feedlot pens (AC=pen 1; AD=pen 2; BC=pen 3; BD= pen 4). All animals belonged to the same breed, sex, and age and were managed in similar way. Measurements were taken in seven repeated days (day 7, 21, 28, 35, 56, and 57) post-treatment and drug administration. Animal is my experimental unit and the variable response (individual body weight; BW) followed the ANOVA criteria. Is the model below correct?   proc mixed data= XX; class animal treatment drug day; model BW = treatment|drug|day initial BW ddfm=kr; random intercept / subject = animal; repeated days / subject = animal type = cs; lsmeans trt|drug|day / adjust = tukey; run;   Question 2: when I include the "adjust=tukey", although I observe significant effect (P<0.05) in the model, none of the adjust p-values are significant (only the non-adjusted p-values). Which p-value should I use when interpreting the p-values? ... View more