/*With the transpose complete the hard core analysis of the data can begin. Let's determine the changes in the Liver Panel Results over time.*/

DATA SASUSER.NEW;
     SET SASUSER.NEW;
     CHANGE1=PUT(EXIT - ENTRY, 2.);
     CHANGE2=PUT(INB3-ENTRY, 2.);
     CHANGE 3=PUT(INB2-ENTRY, 2);
RUN;

/*The next step will run an analysis of variance of the data.*/

PROC ANOVA DATA=SASUSER.NEW;
        CLASS CHANGE1;
        MODEL AGE GENDER STATUS GROUP =CHANGE1;
        MEANS CHANGE1/ DUNCAN;/*DUNCAN multiple range test.*/
        TITLE 'ANOVA';
RUN;
/*OR*/
PROC ANOVA DATA=SASUSER.NEW;
        TITLE 'ANOVA';
        MODEL ENTRY--EXIT = / NOUNI;
        REPEATED TIME 4 (1 2 3 4);
        REPEATED TIME 4 CONTRAST (1) / NOM SUMMARY;
        REPEATED TIME 4 CONTRAST (2) / NOM SUMMARY;
        REPEATED TIME 4 CONTRAST (3) / NOM SUMMARY;
RUN;

/*Regression of the Entry Results on the overall change. Adjustment for error in Pre-test Mean.*/

PROC MEANS DATA=SASUSER.NEW;
     VAR ENTRY;
RUN;
     
DATA SASUSER.NEW;
     SET SASUSER.NEW;
     ENTADJ=PUT(MEAN + R(ENTRY-MEAN), 3.);
RUN;

PROC REG DATA=SASUSER.NEW;
        MODEL EXIT = ENTADJ GROUP/ SELECTION = STEPWISE;
        TITLE 'Regression:  Exit to Entry';
        MODEL INB3 = ENTADJ GROUP/ SELECTION = STEPWISE;
        TITLE 'Regression:  3rd to Entry';
        MODEL INB2 = ENTADJ GROUP/ SELECTION = STEPWISE;
        TITLE 'Regression: 2nd to Entry';
RUN;
/*With these steps complete, you will now be able to determine the time at which the program become significant.*/

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