How Is SAS Used In The Clinical Domain?
The use of the SAS programming language to handle, analyse, and publish clinical trial data is known as clinical SAS programming. SAS is a statistical software package frequently used in pharmaceutical and biotechnology firms for various functions such as data administration, analysis, and reporting. In this blog, we discussed how SAS is used in the clinical domain; join Clinical Sas Training In Chennai at FITA Academy to learn more about clinical SAS.
SAS is used to clean, transform, and manage data from clinical trials. It can handle big datasets and perform data validation and integration from many sources.
SAS is a statistical analysis program used for descriptive statistics, inferential statistics, regression analysis, survival analysis, and analysis of variance (ANOVA). These analyses aid researchers and doctors in deriving meaningful conclusions from clinical trial data.
Validating clinical trial data for accuracy, consistency, and completeness by completing data validation tests, discovering discrepancies, and resolving data-related concerns.
Creating safety reports and lists to track adverse events and safety data during the study.
Creating a standardised data model for regulatory submission by converting clinical trial data into SDTM format.
Creating ADaM datasets, which are data sets suitable for statistical analysis.
Creating clinical trial reports, such as integrated safety and efficacy summaries (ISS/ISE), clinical study reports (CSRs), and other regulatory papers.
8)Data Quality Control
Implementing quality control methods to ensure that analytical results are accurate and reliable.
Creating data visualisations, such as graphs and plots, for data exploration and outcomes presentation.
Creating SAS macros to boost programming performance by streamlining and automating repetitive activities.
Using standardised dictionaries such as MedDRA (Medical Dictionary for Regulatory Activities) and WHO Drug, perform medical coding of adverse events, concomitant drugs, and medical history phrases.
Thus some of the ways SAS is used in the clinical domain are data management, statistical analysis, data validation, safety reporting, SDTM conversion, ADaM implementation, report generation, data quality control, data visualisation, automation and medical coding. To know more about the clinical domain, join Clinical Sas Online Training to learn at your own pace.