Clinical SAS Interview Questions: Top 15 Questions & Answers for Freshers & Experienced
SAS helps clinical researchers to achieve great speed and efficiency while conducting clinical trials. It helps Clinical SAS professionals to analyze large amounts of big data (structured & unstructured data), which helps them to uncover many hidden insights, patient concerns, and many other issues. These insights help them to predict and improve outcomes.
This article help you to prepare for Clinical SAS interviews. Here are some very productive questions, which will help you to hone your skills and nurture your talent to become a Clinical SAS Programmer, Clinical Data Manager, Biostatistician, Team Leader, etc.
Top Clinical SAS Interview Questions & Answers
- What is the main focus of Good Clinical Practices (GCP)?
- harmonized data collection
- standard analysis practices
- protection of subjects
- standard monitoring practices
- The following program is submitted:
Proc sort data = sasuser.visit out = vsort;
By code descending date cost;
Which statement is true regarding the submitted program?
- The vsort data set is stored in the sasuser library.
- The descending option applies to date variables.
- The descending option applies to the variable code.
- The variable date is sorted by ascending order.
- What is the importance of the clinical trial phase I? Select the answer which is more applicable.
- Phase I trials works with safety, efficacy and identifies the drug dosage ranges which are tests on healthy patients.
- Phase I trials help in understanding the drug whether it has any side effects.
- Phase I trials look into safety and checks if there are any side effects. It is tested on healthy patients.
- Phase I trials look into the safety and efficacy of drugs which is tested on diseased patients.
- You want to calculate the p-value of Fisher's exact test for a 3x3 table. Which option must you add to the TABLES statement of PROC FREQ?
- RFSTDTC is only found in the Demographic domain.
- The following question will ask you to provide a line of missing code. The following program is submitted to output observations from data set ONE that has more than one record per patient.
Proc sort data = one out = two;
<insert the code here>
If (first.subjid ne 1 or last.subjid ne 1) then ouput;
Please select the line of code that will correctly complete the program.
- There is no need to enter any code
- By subjid
- By subid;
- By subjid;
- How is the study day calculated?
- Study is calculated by subtracting the visit date minus reference start date plus one because the study cannot be zero.
- As study day begins with zero, Study is calculated by subtracting the visit date minus the reference start date.
- Study day is calculated by subtracting the visit date minus the first visit date when the patient came for screening.
- Study is calculated by subtracting the visit date minus the reference start date plus one and there cannot be any negative values.
- Given two data sets with the following variables: Why is the first highlighted note showing in the log?
Data set HR variables:
Data set DISP variables:
Each dataset was sorted by the subject identifier and merged together. The resulting log is shown below:
50 data hrates;
51 merge hr disp;
52 by subjid;
NOTE: MERGE statement has more than one data set with repeats of by values.
NOTE: There were 13 observations read from the data set WORK.HR
NOTE: There were 6 observations read from the data set WORK.DISP
NOTE: The data set WORK.HRATES has 13 observations and 5 variables.
- The variable VISIT occurs in both data sets but is not included in the BY statement.
- There are no observations with matching values for SUBJID in either data set.
- There are multiple observations with the same value for SUBJID in both data sets.
- One of the two data sets has multiple observations with the same value for SUBJID.
- How many domains are there mentioned in SDTM IG version 3.2?
- What does ICH E9 explain about?
- Good clinical practices
- Clinical study reports
- Statistical principles for clinical trials
- The following program is submitted:
If subjcode = “Wgt2” then description = ‘Over’;
Else description = ‘Unknown’;
If the value for the variable subjcode is “WGT2”, what is the value of the variable description?
- Missing character value
- Which SAS program will apply the data set label 'Demographics' to the data set named DEMO?
- data demo (label='Demographics');
- data demo;
set demo (label='Demographics');
- data demo (label 'Demographics') ;
- data demo; set demo;
label demo= 'Demographics' ;
- What is a controlled terminology? Select the correct feasible answer.
- Controlled Terminology is the set of code lists and valid values. Controlled Terminology does not tell you what to collect; it tells you if you collected a particular data value, how you should submit it.
- Controlled terminology helps the SAS programmers to identify the value and tells us what values are to be collected in a specific manner and submit it to regulatory authorities.
- Controlled terminology consists of the variables and values to be created for the electronic submissions to regulatory authorities.
- I am not sure of the answer.
- What does the MLOGIC option do while using macros?
- This option is useful when we want to create a new file with the resolved macro code.
- This option prints the message in the LOG file about how the macro variable is resolved.
- This option will display how the macro variable resolved each time in the LOG file as TRUE or FALSE.
- This option displays all the SAS statements of the resolved macro code.
- What information can be found in the SAS Dictionary tables? (Choose more than one answer if applicable.)
- datasets contained within a specified library
- values contained within a specified format
- variables contained within a specified dataset
- values contained within a specified variable
To answer the above mentioned questioned, click here: https://forms.gle/41MAVT9eUoBgTRJQ7
This article is brought to you by Sankhyana Education (SAS Authorized Training Partner in India), we are a premium and best online clinical sas training institute in India offers the best career-oriented training.
Conclusion: The pharma industry in India is witnessing high demand for pharma qualified professionals having SAS skills. The data in pharma domain is growing at a rate of 48% per year, and also the process of getting a drug to market requires an inordinate amount of clinical data analysis, they play a key part in the process whether they’re working at a drug company or a clinical research organization. Being a clinical SAS programmer there is a huge scope to switch into different departments like Clinical Data Management, CDISC Programming, Biostatistics, etc.
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