INTRODUCTION TO SAS

The Statistical Analysis System, or SAS program, is a powerful software suite widely used for data management, statistical analysis, and reporting in various industries. It provides tools for data manipulation, statistical modeling, and the creation of informative reports. The SAS program is known for its versatility, efficiency, and ability to handle large datasets. It is extensively utilized in fields such as finance, healthcare Clinical SAS, and research to extract valuable insights from data and support evidence-based decision-making.

Clinical SAS is widely used in clinical research for analyzing and reporting trial data. In India, there is a growing demand for professionals skilled in SAS for clinical trials. A clinical SAS programmer develops code to create SAS datasets, following a given plan. They prepare clinical and statistical summary reports, communicate with leads, and perform quality control on final reports. SAS programming skills are utilized within the protocol team for all analysis and reporting in clinical trials. Consider exploring SAS certification courses, such as the clinical SAS programmer course, to enhance your skills in SAS for clinical research.

Why is SAS preferred in clinical trials over other programs like Microsoft Excel or Google Sheets?
This is a common question about why SAS is preferred in clinical trials over other programs like Microsoft Excel or Google Sheets. The answer is here,

The statistical analysis system, or SAS, plays a vital role in clinical trials, serving as a versatile tool for tasks ranging from data management and statistical analysis to report generation.

It is instrumental in organizing and cleaning trial data, implementing quality controls, and integrating information from diverse sources. The capability of SAS extends to adaptive trial designs, safety monitoring, and the creation of visually informative graphs. Additionally, SAS aids in the generation of comprehensive reports essential for regulatory submissions and effective communication with stakeholders. Its widespread use underscores its significance in maintaining data integrity, conducting robust statistical analyses, and contributing to the overall success of clinical trials.

SAS excels over spreadsheet programs like Excel in handling vast data volumes and facilitating complex data manipulation and analysis. While spreadsheets are user-friendly for small tasks, SAS serves as a robust platform for large-scale endeavors, necessitating dedicated training.

Let’s explore more about SAS.

Founded in 1960 by James Goodnight at North Carolina University in the vibrant capital city of Raleigh, SAS has evolved beyond its origins. It is not merely a tool but a comprehensive combination of data extraction and data analysis.

SAS is made up of two steps, which are;

• DATA step
• Proc step
• DATA STEP: Crafting the Foundation

The SAS DATA STEP plays a crucial role, mainly focused on reading and generating datasets. Consisting of three key statements that form the backbone of data manipulation. They are:

• Input statement
• Cards Statement
• Run statement
• For example:

In this program, a dataset named ‘abc’ is created, variables are assigned (a, b, c), and observations are added using the Data Lines section.

run; is used for the completion of the program

PROC STEP: Where Magic Happens

On the other hand, SAS relies heavily on the PROC STEP, or Procedure Step, for the creation of reports, graphing, printing, and writing. It does the magic behind the scenes as a procedural module.SAS Windows and their purposes:

Understanding the different windows and their functions is essential to comprehending the SAS environment. These windows are as follows:

Editor Window: This is your workspace to write, modify, and execute SAS programs.
Log Window: Delve into this window to find information on variables, observations, errors, and warnings.
Output Window: Witness the automatic display of results in this window.
Explorer Window: Here, libraries reveal their intricate details, guiding users through the SAS landscape.
SAS Library: A SAS library comprises one or more SAS files acknowledged by SAS, constituting a unit that can be referenced and stored.

SAS categorizes libraries into two types:

Permanent Library: Features Work, SAS Help, SAS User, and Maps.
Temporary Library: Encompasses Maps SAS and Maps GFK.
Data Types in SAS: The fundamental thing in SAS is understanding data types. There are two different types of data sets, such as:

Numeric: Applied when text is represented in numbers.
Character: Employed when text aligns with alphabets.

Starting a journey with SAS is more than merely utilizing its features. Purchasing a basic SAS program opens the door to mastery by giving you a thorough understanding of all the nuances of SAS, from its fundamentals to its most sophisticated capabilities.

To conclude, SAS is not a mere software suite; it is a journey that unravels the immense potential hidden within data. From the foundational DATA STEP to the procedural prowess of PROC STEP, SAS opens up a world of possibilities.

Written by Minal, Clinical SAS Student