SAS Learning Hub

COMPREHENSIVE ANALYSIS AND STATISTICAL EVALUATION OF CLINICAL TRIAL DATA INCLUDING DEMOGRAPHICS | TREATMENT RESPONSES | ADVERSE EVENTS AND CHRONIC CONDITIONS  /* Step 1: Creating a Clinical Trial Dataset */ DATA Clinical_Trial_Data;     LENGTH Patient_ID $10 Gender $6 Drug_Name $15 Adverse_Event $20;     FORMAT Age 8. Drug_Dosage 8.1 Response_Score 8.2;     DO i = 1 TO 10;         Patient_ID = CAT('P', PUT(i, Z4.));         Age = 18 + INT(RANUNI(1234)*62);         /*Gender using IF-ELSE */         IF INT(RANUNI(1234)*2) = 0 THEN Gender = 'Male';         ELSE Gender = 'Female';                  /*Drug_Name using IF-ELSE*/         IF INT(RANUNI(1234)*5) = 0 THEN Drug_Name = 'Drug_A';         ELSE IF INT(RANUNI(1234)*5) = 1 THEN Drug_Name = 'Drug_B';       ...

SAS CLINICAL ANALYSIS USING DATA, PROC MEANS, PROC FREQ, PROC UNIVARIATE, PROC CORR, PROC REPORT, PROC SQL, PROC SGPLOT, AND PROC EXPORT  /* Step 1: Creating the Clinical Trial Dataset */ DATA Clinical_Trials;     LENGTH Trial_ID $10 Patient_ID $10 Gender $6 Drug_Name $15 Side_Effects $20 Outcome $10;     FORMAT Age 8. Dosage_mg 8.2 Efficacy 8.2 BP_Change 8.2 Recovery_Time 8.2 Weight_Change 8.2 Heart_Rate 8.2 Cholesterol_Level 8.2;     DO Trial_Index = 1001 TO 1005;         Trial_ID = CATS("T", Trial_Index);         DO Patient_Index = 2001 TO 2005;              Patient_ID = CATS("P", Patient_Index);             Age = ROUND(18 + RANUNI(1234) * 62, 1); /* Age between 18 and 80 */             Gender_Val = INT(RANUNI(1234) * 2) + 1;             SELECT (Gender_Val);         ...