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SASInstitute A00-282 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Manage Clinical Trials Data | 5% | - Access and explore clinical datasets - Use SQL and dictionary tables - Clean, merge, and subset data |
| Macro Programming for Clinical Trials | 15% | - Create and call macros - Macro variables and parameters - Debugging macros |
| Clinical Trials Data Structures | 10% | - Define.xml and dataset specifications - Clinical domain structures - CDISC standards: SDTM, ADaM |
| Apply Statistical Procedures for Clinical Trials | 15% | - PROC MEANS, FREQ, TABULATE - Basic statistical analysis for clinical data |
| Clinical Trials Process | 5% | - Derive programming requirements from protocol and CRF - Clinical trial lifecycle and protocol |
| Transform or Summarize Clinical Trials Data | 15% | - Aggregation and transposition - Data step manipulation - Derive variables and study days |
| Report Clinical Trials Results | 10% | - PROC REPORT and PROC PRINT - Produce tables, listings, and figures |
| Validate Clinical Trial Data Reporting | 20% | - Validation principles - Use PROC COMPARE and log review - Programming validation techniques |
| Regulatory Submissions | 5% | - Compliance for clinical data reporting - ICH and FDA guidelines |
SASInstitute Clinical Trials Programming Using SAS 9.4 Sample Questions:
Question 1
Given the following data set:
Which type of clinical trials data is this?
A. Medical History
B. Vital Signs
C. Laboratory
D. Demographics
Question 2
Identify the data structure with the following characteristics:
- Contains one or more records per subject, per analysis parameter, and per analysis timepoint.
- May be derived from findings, events, interventions and special-purpose SDTM domains, or other ADaM datasets.
- A record can represent an observed, derived, or imputed value required for analysis.
A. Event Level Analysis Data Set (ADAE)
B. Basic Data Structure (BDS)
C. Subject Level Analysis Data Set (ADSL)
D. General Data Structure (GDS)
Question 3
The following SAS program is submitted:
Which alternative program creates an equivalent BASE_BP data set?
A. proc sort data=VS (keep=usubjid vsstresn vstestcd)
out=BASE_BP (drop=vstestcd);
by usubjid;
if vstestcd in('DIABP','SYSBP');
run;
B. data BASE_BP (keep=usubjid vsstresn vstestcd);
set VS (drop=vstestcd);
if vstestcd in('DIABP','SYSBP');
run;
C. data BASE_BP;
set VS (keep=usubjid vsstresn);
if vstestcd in('DIABP','SYSBP');
run;
D. proc sort data=VS (keep=usubjid vsstresn vstestcd)
out=BASE_BP (drop=vstestcd);
where vstestcd in('DIABP','SYSBP');
by usubjid;
run;
Question 4
Given the following code executed with system date and time of April 29, 2020 at 10:33 AM:
data _null_;
daytim=put("&sysdate"d,date9.)||" "||put("&systime"t,time8.);
call symputx("nowdate", daytim);
run;
%put &nowdate;
The output of the macro variable "nowdate" in the log will be:
A. 29APR2020 10:33:00
B. &nowdate
C. 29APR2020 10:33 AM
D. daytim
Question 5
Given the data set WORK.BP with the following variable list:
The following SAS program is submitted:
ods select ExtremeObs;
proc univariate data=WORK.BP;
var DIABP;
id PTNO;
run;
Which type of output will be created by the program?
A. a table of the highest and lowest values of DIABP over all observations
B. a table of the highest five and lowest five values of DIABP for each level of PTNO
C. a table of the highest five and lowest five values of DIABP over all observations
D. a table of the highest and lowest values of DIABP for each level of PTNO
Solutions:
| Question 1 Answer: B | Question 2 Answer: B | Question 3 Answer: D | Question 4 Answer: A | Question 5 Answer: C |



