10+ Clinical SAS Programmer Interview Questions and Answers

To extract a specific word from a sentence in SAS, use string functions like SCAN or INDEX to locate and retrieve the desired word.

• Use the SCAN function: SCAN('this is a sas class', 3) returns 'sas'.

• Use the INDEX function: INDEX('this is a sas class', 'sas') returns the starting position of 'sas'.

• Combine functions: Use SCAN with a loop to extract multiple words if needed.

The code has two 'where' statements which is not allowed in SAS.

• Remove one of the 'where' statements to correct the code.

• Combine the conditions using 'and' or 'or' operators if both conditions need to be applied.

Supervisory functions are tasks related to managing and overseeing the work of others in a team or organization.

• Supervisory functions include planning, organizing, staffing, directing, and controlling.

• These functions are called supervisory because they involve overseeing and managing the work of subordinates.

• Examples of supervisory functions in a clinical SAS programming role include assigning tasks to team members, monitoring progress, and providing guidance and feedback.

• Sup...read more

In DM, information related to study subjects, visits, assessments, and other clinical trial data is stored. Variables include subject ID, visit number, date/time, and results.

• DM stands for Data Management in clinical trials

• Information stored includes subject demographics, study visits, lab results, adverse events, etc.

• Variables in DM can include subject ID, visit number, date/time, results, treatment group, etc.

• Example: Subject ID - 001, Visit Number - 1, Date - 01/01/2022, L...read more

SAS is a software suite used for advanced analytics, business intelligence, and data management, widely used in clinical research.

• SAS stands for Statistical Analysis System, a software suite for data analysis.

• It is widely used in clinical trials for data management and reporting.

• SAS programming involves data step and proc step; e.g., data step for data manipulation.

• Common procedures include PROC MEANS for summary statistics and PROC FREQ for frequency counts.

• SAS can handle la...read more

Clinical SAS is a specialized software used in the pharmaceutical industry for data analysis and reporting in clinical trials.

• Clinical SAS is used for managing, analyzing, and reporting data from clinical trials.

• It helps in generating tables, listings, and graphs to summarize trial data.

• Clinical SAS is essential for ensuring data quality and regulatory compliance in clinical research.

• It is commonly used in pharmaceutical companies, contract research organizations (CROs), and ...read more

Clinical SAS salary ranges for beginners vary depending on location, experience, and employer.

• Salary ranges can vary based on geographic location, with higher salaries typically found in major cities.

• Experience level also plays a significant role in determining salary, with more experienced programmers earning higher salaries.

• Employer type, such as pharmaceutical companies or research institutions, can also impact salary ranges.

• On average, entry-level Clinical SAS Programmers...read more

SDTM domains categorize clinical trial data for regulatory submission, ensuring consistency and clarity in data representation.

• Demographics (DM): Contains subject demographic information like age, sex, and race.

• Adverse Events (AE): Records any adverse events experienced by subjects during the trial.

• Laboratory Tests (LB): Includes results from laboratory tests conducted on subjects.

• Vital Signs (VS): Captures vital signs such as blood pressure, heart rate, and temperature.

• Medic...read more

Clinical SAS is used for analyzing clinical trial data to ensure drug safety and efficacy.

• Used for statistical analysis of clinical trial data

• Generates tables, listings, and graphs for reporting

• Helps in identifying trends and patterns in data

• Ensures data integrity and regulatory compliance

The ADaM domain is crucial for statistical analysis in clinical trials, focusing on analysis datasets derived from clinical data.

• ADaM stands for Analysis Data Model, which standardizes datasets for statistical analysis.

• It includes datasets like ADSL (Subject-Level Analysis Dataset) that summarize subject characteristics.

• ADaM datasets are derived from SDTM (Study Data Tabulation Model) datasets, ensuring traceability.

• Key variables in ADSL include subject ID, treatment group, a...read more