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SASInstitute A00-282 Exam Syllabus Topics:

SASInstitute Clinical Trials Programming Using SAS 9.4 Sample Questions:

1. Which is an acceptable variable label in a V5 transport file for regulatory submission?

A) Reason Medical History Not Done or Not Occurred
B) Numeric Result/Finding in Standard Format
C) Category for Reproductive System Findings
D) Character Result/Finding in Std Format

2. The PROC COMPARE code below is intended to validate the results from a PROC FREQ.
Both the ProdFreqData and ValFreqData data sets contain 10 observations of the variable Frequency.
No other variables are present in these data sets.
proc compare base = ProdFreqData
comp = ValFreqData
out = FreqDiffs
outbase outcomp outdif outnoeq
method = exact
noprint;
run;
After successfully executing this PROC COMPARE step, what is a possible reason for the FreqDiffs file to contain 30 records?

A) The internal values of Frequency are different in the base and comparison data sets.
B) The variable types of Frequency are different in the base and comparison data sets.
C) The formatted values of Frequency are different in the base and comparison data sets.
D) The variable labels of Frequency are different in the base and comparison data sets.

3. From the Statistical Analysis Plan, patients age is calculated as an integer relative to date randomized divided by 365.25.
Given the following annotated CRF:


Which programming code defines the patient's age?

A) age = int((randdt-birthdt)/365.25);
B) age = int((birthdt-randdt)/365.25);
C) age = int((today()-birthdt)/365.25);
D) age= int(yrdif(birthdt,randdt, "act/365.25" ));

4. Identify the CDISC model with the following characteristics:
XML-based content and format standard facilitates the archive and interchange of the metadata and data for clinical research provides an accurate audit trail that is 21 CRF Part II compliant

A) Study Data Tabulation Model (SDTM)
B) Trial Design Model (TDM)
C) Analysis Data Model (ADaM)
D) Operational Data Model (ODM)

5. The following SAS program is submitted:

You want to store all calculated means and standard deviations in one SAS data set.
Which statement must be added to the program?

A) ods output out=WORK.RESULTS mean=m1 m2 std=s1 s2;
B) ods output mean=m1 m2 std=s1 s2;
C) output mean std;
D) output out=WORK.RESULTS mean=m1 m2 std=s1 s2;

Solutions: