SASInstitute A00-282 : Clinical Trials Programming Using SAS 9.4

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SASInstitute Clinical Trials Programming Using SAS 9.4 Sample Questions:

1. The following SAS program is submitted: data WORK.ALL;

How will the data sets ONE and TWO be combined?

A) match merged
B) one-one merged
C) concatenated
D) updated

2. The data set CM has eight variables including CMTRT and is sorted by STUDYID USUBJID CMSEQ.
DATA_BB is created by selecting records from CM where the character string "BLOCKER" is included in CMTRT.

Which program was used to produce WORK.DATA_BB?

A) proc sort data=cm out=data_bb (keep=usubjid cmstdtc cmtrt);
by usubjid CMSTDTC;
where cmtrt in('BLOCKER');
run;
B) proc sort data=CM (keep=usubjid cmstdtc cmtrt) out=data_bb;
by usubjid CMSTDTC;
where cmtrt contains 'BLOCKER';
run;
C) data data_bb;
set cm (keep=usubjid cmstdtc cmtrt);
by usubjid CMSTDTC;
where cmtrt in('BLOCKER');
run;
D) data data_bb;
set cm (where=(find(cmtrt,'BLOCKER','i')>0));
by usubjid CMSTDTC;
run;

3. This question will ask you to provide a line of missing code. Given the data set RAWBP that is sorted by SUBJECT TEST WEEK:

The following SAS program is submitted:
data bp;
set rawbp;
by subject test week;
retain baseline;
if first.test then baseline = .;
if week = 0 then baseline = value;
else if week > 0 then do;
<insert code here>
end;
run;
Which statement must be added to the program to calculate percent change from baseline?

A) pct_chg = ((value - baseline) /value)*100;
B) pct_chg = ((baseline - value) /baseline)*100;
C) pct_chg = ((baseline - value) /value)*100;
D) pct_chg = ((value - baseline) /baseline)*100;

4. The purpose of the ADaM model is to provide a framework that:

A) enables the creation of study patient profiles
B) enables the tabulation of the raw source data
C) enables the statistical analysis of the data
D) can be used to generate the CDISC ODM

5. When writing a validation program using independent programming, which two actions conform to good programming practices?
(Choose two.)

A) Copy statistical code directly from the production program.
B) Copy statistical code directly from the SAP.
C) Ensure the production program has been run prior to compare.
D) Delete subjects from the production side that are causing differences with the validation data set.

Solutions: