Statistical Analysis System, known
as SAS System, is one of the most widely used, flexible data processing tools.
It is used to perform:
In this course, you will learn basics and advanced SAS concepts to read
and manipulate clinical data. Using the clinical features and basic concepts of
clinical trials, this course shows how to import ADAM, CDISC or other standards
for domain structure and contents into the metadata, build clinical domain
target table metadata from those standards, create jobs to load clinical
domains, to validate the structure and content of the clinical domains based on
the standards, and to generate CDISC standard define.xml files describing the
domain tables for clinical submissions. SAS Clinical Data Integration
organizes, standardizes and manages clinical research data and metadata. It
provides the foundation you need to ensure standard, trusted clinical data to
support strategic analyses, such as cross-study and advanced safety analysis.
With SAS, you can gain both speed and efficiency by automating repeatable
clinical data integration tasks.
- Data entry, retrieval and management
- Report writing and graphics
- Statistical and mathematical analysis
- Business forecasting and decision support
- Operations research and project management
- Application development
Before analyze the data and produce the final report we have
to arrange the data in the order (format) that the software will recognize the
data for further processing. SAS will recognize the data in the form of data
set. SAS data set consists of two parts i.e.
SAS is both a
software provider and a corporate citizen. The Corporate Social
Responsibility
Report reflects company core values and achievements through
a strong
commitment to a unique workplace culture, support for education and
efforts to
reduce environmental footprint.
Clinical Programming
Explanation of organizational aspects of the Biometrics department
Basic concepts of Clinical trials
Phase -- I, Phase -- II, Phase -- III, Phase -- IV
Clinical trial glossary -- Demystified
Explanation of the Clinical trial process
Protocol development
CRF Design and development, Data Management plan
Edit check specifications document, Edit check programming
Data querying, Paper CRF and E-CRF studies
Database programming and basic understanding of EDC studies
Annotated CRF's
Data Querying
Lab data handling -- procedures and pitfalls
Patient Profiles, Database Lock
CDISC SDTM 3.1.2 and ADAM 1.2 Implementation
How to generate Tables, Listing and Figures
Explanation of organizational aspects of the Biometrics department
Basic concepts of Clinical trials
Phase -- I, Phase -- II, Phase -- III, Phase -- IV
Clinical trial glossary -- Demystified
Explanation of the Clinical trial process
Protocol development
CRF Design and development, Data Management plan
Edit check specifications document, Edit check programming
Data querying, Paper CRF and E-CRF studies
Database programming and basic understanding of EDC studies
Annotated CRF's
Data Querying
Lab data handling -- procedures and pitfalls
Patient Profiles, Database Lock
CDISC SDTM 3.1.2 and ADAM 1.2 Implementation
How to generate Tables, Listing and Figures
Offered Other Modules:
SAS Clinical 9.3SAS BI, SAS Analytics AS Advanced Analytics, SAS Admin, SAS Solutions
Contact Details :
K.Naveen SAS Trainer
+91-9177856619 (INDIA)
001-214-347-4655 (USA)
For further details:
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