What is the best way to obtain adjusted means from a Proc GLM model (file attached) such as: proc glm data=invivo; class block treatment; model invivo=block treatment; weight treatment; lsmeans treatment/ ADJUST=TUKEY; Contrast 'Compare stx1-0hr with stx2-0hr' treatment 1 0 0 0 -1 0 0 0 0; Contrast 'Compare stx1-1hr with stx2-1hr' treatment 0 1 0 0 0 -1 0 0 0; Contrast 'Compare stx1-2hr with stx2-2hr' treatment 0 0 1 0 0 0 -1 0 0; Contrast 'Compare stx1-3hr with stx2-3hr' treatment 0 0 0 1 0 0 0 -1 0; run; The block effect is highly significant but I am having trouble identifying a method to report the adjusted means which accounts for the significant block effect. Does this require the ESTIMATE function? Any suggestions? Thank you.
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