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SAS CDM Interview Questions

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by Ravindra Savaram
Last modified: July 16th 2021

If you're looking for SAS CDM Interview Questions for Experienced or Freshers, you are at the right place. There are a lot of opportunities from many reputed companies in the world. According to research, SAS CDM has a market share of about 0.6%. So, You still have the opportunity to move ahead in your career as a SAS Programmer Analyst. Mindmajix offers Advanced SAS Clinical Data Management Interview Questions 2021 that helps you in cracking your interview & acquire your dream career as Clinical SAS Programmer.

Top Clinical Data Management Interview Questions

Q1. What are the phases of clinical trials?

The following are some of the phases contained in the clinical trials of SAS.

  • In the first phase, it can test the new treatment or drug that belongs to a small group of people.
  • The second phase in the clinical trials can be stated as the experimental treatment or drug that completely belongs to a large group of people.
  • The phase 3 clinical trials are mainly used to monitor the side effects by comparing them to the commonly used treatments.
  • Finally, phase 4 can be used to study all the marketing studios that include the benefits and drug's risk.

Q2. What is the validation procedure and how could you perform the validation using the data set?

The validation process in the SAS program mainly verifies the specific output of the program, which is generated by the source programmer. In this programming process, the validator will write the program in order to generate the output which is considered to be valid. You can also activate the validation process by checking the output manually that analyzes the data set using the PROC COMPARE.

Q3. How to perform the validation for listing if it is 400 pages?

However, it is impossible to validate the long-term listing which contains 400 pages, but we can translate the data into the respective data set with the help of the PROC report, and later we can use the PROC COMPARE to compare the data.

Q4. How and why to use the PROC COMPARE to validate the listings?

Yeah for sure, we can definitely make use of the PROC COMPARE in order to validate the data listing that is entered into the listings manually with the help of this condition.

Q5. How to generate listings, graphs, and tables in SAS CDM?

With the help of PROC REPORT, we can easily generate the listings, PROC FREQ, PROC TRANSPOSE, And PROC mean to create the tables, whereas to create the graph we can use the PROC Gplot option.

Q6. How many tables can you create in a single day by using the CDM in SAS?

Basically, the creation of tables is based on complexity. For example, If the fore creating tables belong to the same type, then you can create 1-3 tables per day.

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Q7. Explain the Data Sets that are known by you?

The following are some of the data sets which we are generally used for the data validation in CDM like Laboratory, analysis, adverse events, and demographics.

Q8. What is meant by PROCS?

The PROCS in the CDM is mainly used to generate the report list according to the display variables that are mentioned in the data validation process.

Q9. How to submit the documents to FDA and who is responsible to do that?

In order to submit the documents to the FDA, we need to use the .pdf or can define the.XML formats. In this process, there is a chance to know more about the macros as well as the programs and records too.

Q10. What is the SAS documentation?

Generally, the SAS documentation will include all the comments, titles, programmer header, and footnotes in order to read and understand the program easily.

Q11. Explain Oracle clinical and Clin-trial database?

The oracle clinical in the SAS is defined as the data management system which is specifically designed by the team of data management functionalities that can process the entire trials.

Q12. What is SDTM?

The SDTM in the SAS CDM is stated as the study Data tabulation model which is generally developed to perfection the submitted FDA.

Q13. Explain CRT?

CRT means Case Report Tabulation, which is a document that needs to submit an NDA for the company CRTs to the respective FDA.

Q14. Explain the contents that contain in the AE dataset and what is their purpose?

The adverse events that contain the data set are used to summarise the events according to the patient's lists, treatments that aid in the safety analysis of the specified drug.

Q15. Explain the contents included in the lab data?

Basically, the lab data set will contain the category of a lab test, standard units, week number, and SUBJID, which is mainly used to retrieve the main difference between the key variables contained in the drug administration.

Q16. How to clean and change the values in the data on your own?

It is recommended to use the PROC UNIVARIATE and the PROC FREQ that are found in the data.

Q17. How to create the CRTs?

In order to create the profiles of the patients, we definitely need to use the PROC SQL and PROC CONTENTS in order to create new simple patients listings, which may contain the sex, age, and race of the patients.

Q18. Explain the main difference between validation and verification?

However, the validation and verification meaning will sound the same, but the verification process will have a more sense of testing that results from the accurate reports by conducting the experiments. Whereas the validation will also make it more meaningful by declaring the particular statement whether it is true or false.

Q19. Explain the SAS features and how do you use them for data validation and trapping?

In order to validate and trap the date the following are some of the conditions that we have to use for it like Debug option and put statement.

Q20. Explain the PROC CDISC in SAS CDM

The PROC CDISC in the SAS CDM is one of the new procedures, which is currently available in the hotfix with the latest version. Basically, it is described as the process which may allow the users to import the data from the latest versions.

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NameRavindra Savaram
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Ravindra Savaram is a Content Lead at Mindmajix.com. His passion lies in writing articles on the most popular IT platforms including Machine learning, DevOps, Data Science, Artificial Intelligence, RPA, Deep Learning, and so on. You can stay up to date on all these technologies by following him on LinkedIn and Twitter.