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SASInstitute Clinical Trials Programming Using SAS 9.4 Sample Questions:

1. The table below shows a subset of values of the variables LLTERM and HLTERM from a larger data set that is to be read into a DATA step.

Which subsetting IF statement could ensure that only records that have a missing value of LLTERM or a missing value of HLTERM are written to the resulting data set?

A) if anyalpha(LLTERM, HLTERM) > 0;
B) if missing(LLTERM, HLTERM) > 0;
C) if cmiss(LLTERM, HLTERM) > 0;
D) if nmiss(LLTERM, HLTERM) > 0;

2. How does the code shown below help to validate report output?
data check;
set datlib.medhist;
mh_len = length(trim(mhcom1));
run;
proc freq data=check;
tables mh_len;
run;

A) It helps the programmer determine which observation has the longest value for mhcom1.
B) It shows all the values for mhcom1 in the results.
C) It writes all values of the mhcom1 variable that are longer than 200 in the results.
D) It shows all the values for the length of mhcom1 in the results.

3. Given the SAS data set containing subject's phone numbers

What is the value of PHONE2 for subject 005?

A) 2156319494
B) (215) 6319494
C) (215) 631-9494
D) 631-9494

4. A dataset contains systolic blood pressure values stored in the variable SYSBP.
Which program displays the median systolic blood pressure over all participants?

A) proc freq data=vitals;
tables sysbp;
run;
B) proc means data=vitals;
var sysbp;
run;
C) proc univariate data=vitals;
var sysbp;
run;
D) proc summary data=vitals print;
var sysbp;
run;

5. Given the following vital signs data: Baseline is defined as the last non-missing value prior to Day 1.

What is the value for the change from baseline for Week 1 for Subject 2?

A) 11
B) 23
C) -11
D) -23

Solutions: