Efficacy analysis of the percent change from Day 1 to Day 56 in LDL-C will be performed using a mixed model for repeated measures (MMRM) approach. The MMRM approach will include all available assessments of percent change in LDL-C from Baseline to Day 28 and Day 56. The Restricted Maximum Likelihood estimation approach will be used with an unstructured covariance matrix. The least squares means, standard errors, and 2-sided 95% confidence intervals for each treatment group and for the pairwise comparisons of each dose of active group to the placebo group will be provided. Adjustment for multiple comparisons will be made using Dunnett’s test in accordance with the power and sample size calculations utilized for the study. Only interest in multiple comparison at Day 56, and not sure how Adjust option use in LSMEANS. AVISITN= 3= Day 28 / AVISITN=4= DAY 56   PROC MIXED DATA= dsin;   Where PCHG^=.;   Class USUBJID AVISITN TRTN(ref="1");   Model PCHG = AVISITN|TRTN BASE / solution cl ;   Repeated AVISITN / TYPE=UN Sub=USUBJID;   LsMeans TRTN / at (AVISITN)=(4) Adjust=DUNNETT; RUN;     Any suggestion?   ... View more

Suppose have 3 Treatment Group, Placebo (1), Group A with Dose 10mg, Group B with Dose 20mg. Study duration: Baseline (Day 1), Week 4, Week 8, Week 12.  Goal: 1) compare the change from baseline across visits among treatments separately 2) compare the change from baseline across different visits among (placebo) VS. (combined Group A & B)   When using PROC MIXED model, "lsmeans" can provide result of Goal (1), "estimate" can provide (2); however, I am not very sure how to use "estimate" or "lsmestimate" or "contrast" to get Goal (2)   proc mixed data= long; class treatment visit; model CHG = Treatment*visit; repeated visit / subject=id type=UN ; estimate 'placebo vs pool' treatment 1 -0.5 -0.5; lsmeans treatment*visit/ slice=visit; /*differences in exertype for each time point*/ run;   ... View more

In order to get uneven time space as following I manually type Xaxis Label= "Analysis Visits" Type= discrete Values= (12 to 28 by 1)  Valuesdisplay= ("Week 12" "Week 13" "" "" "Week 16" "" "" "" "Week 20" "" "" "" "Week 24" "" "" "" "Week 28 (Follow-up)"); However, I do find  proc sgplot data=age; scatter x=age y=weight; xaxis grid values=(6 9 13 16 19 21 25 30 40 50) valueshint; yaxis grid; run; can provide uneven space automatically.  Any one can provide suggestions about how to get uneven space via PROC SGPLOT by using values= (  )    ... View more