Clinical SAS online Training with Clinical Research Basics:
The Process from discovering a new drug to registering it for marketing is very complex and lengthy. There are several people involved in the Process of drug discovery and development includes Scientists, Clinicians, Statisticians as well as Data managers and SAS Programmers. It is estimated that, on average, a drug takes 10-12 years from initial research to reach the market. Drug discovery and development are mainly carried out by pharmaceutical companies and research agencies. The pharmaceutical market is very competitive. It is imperative that pharmaceutical companies discover and develop drugs efficiently and within the shortest time span to remain competitive.
CDISC-SDTM/ADam Online Training:
CDISC /SDTM fundamental model for organizing data collected in clinical trials.CDISC is a global, open, multidisciplinary, non-profit organization non profit that has established standards to support the acquisition, exchange, submission and archive of clinical research data and metadata.It is for “Good data management practices” are essential to the success of a trial because they help to ensure that the data collected is complete and accurate
BASE And ADVANCE SAS Online Training:
BASE SAS programs often contain DATA steps and PROC steps. DATA steps are parts of the
program where you can read or write the data, manipulate the data, and perform
calculations. PROC (short for procedure) steps are parts of your program where you ask
SAS to run one or more of its procedures to produce reports, summarize the data,
generate graphs, and much more. DATA steps begin with the word DATA and PROC
steps begin with the word PROC. Most DATA and PROC steps end with a RUN
statement (more on this later). SAS processes each DATA or PROC step completely and
then goes on to the next step.
SAS SQL AND MACROS ONLINE Training:
WHY USE MACROS?
Because macro code takes longer to write and debug than standard SAS code, you generally won’t use macros in
programs that will be run only a few times. But if you find yourself writing similar code over and over again, then macros may
make your job easier.
The Structured Query Language (SQL) has a very different syntax and, often, a very different method of creating the desired results than the SAS Data Step and the SAS procedures. Only a very thorough manual, such as the SAS Guide to the Proc SQL Procedure, could even begin to describe well the complete syntax and the full capabilities of Proc SQL. Still, there is value in presenting some of the simpler capabilities of Proc SQL, especially those that are more efficient or easier to code than the SAS Data Step. The reasons: 1) the tables created by Proc SQL can be read by the SAS Data Step or SAS procedures, so the SAS programmer can choose to use only some SQL code without impacting the rest of his