Question 1

In a clinical trial, the variable 'TreatmentGroup' indicates whether a patient received the experimental drug (coded as 'Drug') or the placebo (coded as 'Placebo'). You have been tasked with reporting the frequency and percentage of patients in each treatment group. Which SAS procedure would allow you to obtain these specific statistics for categorical data?

Options :

A : PROC MEANS

B : PROC UNIVARIATE

C : PROC FREQ

D : PROC CORR

Answer: C

Question 2

When implementing define.xml as part of a clinical trial study data submission package, which section is pivotal for explaining algorithmic derivations and handling of special data scenarios to a regulatory reviewer?

Options :

A : The dataset-level metadata section outlining dataset structure and content.

B : The variable-level metadata section describing characteristics and properties of each variable.

C : The computational algorithms and derivation methodology section clarifying complex programming logic.

D : The controlled terminology section ensuring conformance with industry standards for terminology.

Answer: C

Question 3

A clinical trial dataset is being prepared for statistical analysis and submission to a regulatory authority. Which of the following best describes the purpose of applying the CDISC Analysis Data Model (ADaM) standards to the dataset?

Options :

A : To define the dataset in a way that is specific to the individual clinical trial without consideration for cross-study comparisons.

B : To ensure that the dataset only includes variables that are directly derived from the Case Report Form (CRF).

C : To standardize the dataset structure and variables to facilitate efficient review by regulatory authorities and ensure consistency across studies.

D : To anonymize the clinical trial data to protect patient confidentiality before submission to regulatory agencies.

Answer: C

Question 4

While performing data validation checks, you are tasked with writing a SAS program that will identify all subjects who have a discrepancy in their record: the variable 'EndDate' is before the 'StartDate'. Which programming technique would be best suited to identify these subjects?

Options :

A : A DATA step with a WHERE statement to subset records where 'EndDate' < 'StartDate'.

B : A DATA step with an IF-THEN statement to flag records where 'EndDate' < 'StartDate'.

C : PROC COMPARE to compare 'StartDate' and 'EndDate' for each subject.

D : PROC FREQ to calculate frequencies of 'EndDate' and 'StartDate'.

Answer: B

Question 5

A clinical trial analyst needs to create a Kaplan-Meier survival plot to visualize the time-to-event data for different treatment groups. Which PROC step should the analyst use, and what is the key statement to differentiate the treatment groups in the graph?

Options :

A : PROC GPLOT with a BY statement

B : PROC LIFETEST with a STRATA statement

C : PROC SGPLOT with a SERIES statement

D : PROC PHREG with a CLASS statement

Answer: B

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