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SASInstitute A00-282 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Report Clinical Trials Results | 10% | - Produce tables, listings, and figures - PROC REPORT and PROC PRINT |
| Topic 2: Clinical Trials Process | 5% | - Derive programming requirements from protocol and CRF - Clinical trial lifecycle and protocol |
| Topic 3: Macro Programming for Clinical Trials | 15% | - Macro variables and parameters - Create and call macros - Debugging macros |
| Topic 4: Regulatory Submissions | 5% | - ICH and FDA guidelines - Compliance for clinical data reporting |
| Topic 5: Manage Clinical Trials Data | 5% | - Access and explore clinical datasets - Clean, merge, and subset data - Use SQL and dictionary tables |
| Topic 6: Apply Statistical Procedures for Clinical Trials | 15% | - Basic statistical analysis for clinical data - PROC MEANS, FREQ, TABULATE |
| Topic 7: Transform or Summarize Clinical Trials Data | 15% | - Data step manipulation - Aggregation and transposition - Derive variables and study days |
| Topic 8: Validate Clinical Trial Data Reporting | 20% | - Validation principles - Programming validation techniques - Use PROC COMPARE and log review |
| Topic 9: Clinical Trials Data Structures | 10% | - CDISC standards: SDTM, ADaM - Clinical domain structures - Define.xml and dataset specifications |
SASInstitute Clinical Trials Programming Using SAS 9.4 Sample Questions:
1. This question will ask you to provide lines of missing code.
Which ODS statements, inserted respectively in the two locations indicated above, create a report stored in a PDF file?
A) ods file open='AE.pdf' type=pdf;
ods file close;
B) ods pdf file='AE.pdf';
ods pdf close;
C) ods file pdf='AE.pdf';
ods file close;
D) ods pdf open='AE.pdf';
ods pdf close;
2. Which option for PROC COMPARE will list all observations and variables found in only one of the two data sets being compared?
A) LISTALL
B) OUTDIFF
C) ALLOBS
D) OUTALL
3. This question will ask you to provide lines of missing code.
Given the following SCORE data set:
Variable LOCF contains the imputed score that would replace the missing SCORE value (based on last observation carried forward method).
Which SAS statements complete the program?
A) retain LOCF; if first.subject then LOCF = .; if score ^= . then LOCF = score;
B) LOCF = lag(score); if first.subject then LOCF = .; if score ^= . then LOCF = score;
C) retain score; if first.subject then LOCF = .; if score ^= . then LOCF = score;
D) if first.subject then LOCF = .; if score = . then LOCF = lag(score);
4. Which percentage in the table is calculated incorrectly, assuming the cell counts are correct?
Percentages are rounded to the nearest whole percent.
A) 44
B) 54
C) 52
D) 40
5. 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 = ((value - baseline) /baseline)*100;
D) pct_chg = ((baseline - value) /value)*100;
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: A | Question # 3 Answer: A | Question # 4 Answer: A | Question # 5 Answer: C |
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