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SASInstitute A00-282 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Regulatory Submissions | 5% | - Compliance for clinical data reporting - ICH and FDA guidelines |
| Topic 2: Clinical Trials Data Structures | 10% | - CDISC standards: SDTM, ADaM - Clinical domain structures - Define.xml and dataset specifications |
| Topic 3: Manage Clinical Trials Data | 5% | - Access and explore clinical datasets - Clean, merge, and subset data - Use SQL and dictionary tables |
| Topic 4: Apply Statistical Procedures for Clinical Trials | 15% | - PROC MEANS, FREQ, TABULATE - Basic statistical analysis for clinical data |
| Topic 5: Report Clinical Trials Results | 10% | - Produce tables, listings, and figures - PROC REPORT and PROC PRINT |
| Topic 6: Validate Clinical Trial Data Reporting | 20% | - Programming validation techniques - Validation principles - Use PROC COMPARE and log review |
| Topic 7: Macro Programming for Clinical Trials | 15% | - Create and call macros - Macro variables and parameters - Debugging macros |
| Topic 8: Transform or Summarize Clinical Trials Data | 15% | - Data step manipulation - Aggregation and transposition - Derive variables and study days |
| Topic 9: Clinical Trials Process | 5% | - Derive programming requirements from protocol and CRF - Clinical trial lifecycle and protocol |
SASInstitute Clinical Trials Programming Using SAS 9.4 Sample Questions:
1. The following SAS program is submitted:
%let Av=age;
%macro LABD(Av=weight);
%let Av=gend; %mend;
%LABD(Av=height)
%put Av is &Av;
What will be written to the SAS log?
A) Av is gend
B) Av is weight
C) Av is height
D) Av is age
2. This question will ask you to provide a section of missing code.
Given the input SAS data set LABRAW:
Which DO LOOP will create the output SAS data set WORK.LAB_NEW?
A) do i=1 to 2; do j=1 to 2; visit=i; date=dat{j}; result=num{j}; output; end;
B) do i=1 to 2; visit=i; date=dat{i}; result=num{i}; end; output;
C) do i=1 to 2; visit=i; date=dat{i}; result=num{i}; output; end;
D) do i=1 to 2; do j=1 to 2; visit=i; date=dat{j}; result=num{j}; end; output; end;
3. Given the following demographic dataset:
Which program will generate a report where observations will appear in order by SITE SUBJECT and display column headers for each variable defined in the column statement?
A) Proc Report;
column site subject trt age gender race;
define site/order style(header)={'Site'};
define subject/order style(header)={'Subject'};
define trt/style(header)={'Treatment'};
define age/style(header)={'Age'};
define gender/style(header)={'Gender'};
define race/style(header)={'Race'};
run;
B) Proc Report;
column site subject trt age gender race;
define site, subject, trt, age, gender, race;
y site subject;
title 'Site Subject Treatment Age Gender Race';
run;
C) Proc Report;
column site subject trt age gender race;
define site/order 'Site';
define subject/order 'Subject';
define trt/'Treatment';
define age/'Age';
define gender/'Gender';
define race/'Race';
run;
D) Proc Report;
column site subject trt age gender race;
define site/'Site', subject/'Subject',
trt/'Treatment', age/'Age', gender/'Gender',
race/'Race'; run;
4. Which statement outputs all possible missing values of LBORRES?
A) if LBORRES in (. ._) then output;
B) if LBORRES = . then output;
C) if missing(LBORRES) then output;
D) if LBORRES <= .A then output;
5. Given the following data set:
Which type of clinical trials data is this?
A) Demographics
B) Medical History
C) Vital Signs
D) Laboratory
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: C | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: C |








