SAS Clinical Online Training

In this online course, you will learn fundamentals and propelled SAS clinical Online training programming ideas to peruse and control clinical information. Utilizing the clinical elements and fundamental SAS programming ideas of clinical trials, this course demonstrates to import ADAM, CDISC or different guidelines for space structure and substance into the metadata, construct clinical area target table metadata from those norms, make occupations to stack clinical areas, to approve the structure and substance of the clinical areas in view of the models, and to create CDISC standard define. xml records portraying the area tables for clinical entries.

Advantages 

Increment operational proficiency while bringing down expenses

• Automate repeatable errands to free up assets for more esteem included undertakings.

• Increase your ability to handle extra (and more mind boggling) worldwide trials.

• Write and approve less code, and conceivably reuse code in future trials.

• Scale clinical studies without including costly, elusive headcount.

• Support versatile trials through quick access to clinical information for between time examination.

• Reuse the work of others through a typical storehouse that empowers the administration and reuse of data, in this manner lessening both advancement and support time.

SAS Clinical Online Training Course:

Clinical Trials Process
Describe the clinical research process (phases, key roles, key organizations). Interpret a Statistical Analysis Plan.
Derive programming requirements from an SAP and an annotated Case Report Form.
Describe regulatory requirements (principles of 21 CFR Part 11, International Conferenceon
Harmonization, Good Clinical Practices).

Clinical Trials Data Structures
Identify the classes of clinical trials data (demographic, lab, baseline, concomitant medication, etc.). Identify key CDISC principals and terms.
Describe the structure and purpose of the CDISC SDTM data model. Describe the structure and purpose of the CDISC ADaM data model. Describe the contents and purpose of define.xml.

Import and Export Clinical Trials Data
Apply regulatory requirements to exported SAS data sets (SAS V5 requirements).

Manage Clinical Trials Data
Access DICTIONARY Tables using the SQL procedure.
Examine and explore clinical trials input data (find outliers, missing vs. zero values, etc).

Transform Clinical Trials Data
Apply categorization and windowing techniques to clinical trials data. Transpose SAS data sets.