CLINICAL SAS COURSE CONTENT
SAS Clinical Project Content (CDISC SDTM ADaM TLF)
Therapeutic Area: Diabetic
Duration: 50 Hour
Part 1
a. Introduction about the course
b. Introduction about the each deportments(clinical operations, CDM, Bio-statistics and Medical writing)
c. Detailed information about the Bio-Statistics (statistician, statistical programmers and SAS programmers)
d. Introduction about the Client, Regulatory bodies ,Submission of the study
e. Introduction to specifications
Part 2: CDISC -SDTM
Introduction of CDISC
b. Why CDISC and DATA standards
c. What are the versions of CDISC
d. Impact of CDISC Standards on Clinical Acitivities
e. CDISC Models
f. Study Data Tabulation Model (SDTM)
g. Analysis Dataset Models (ADaM)
h. Operational Data Model (ODM)
Fundamentals of SDTM
a. What is SDTM?
b. Observations and Variables in SDTM
c. Special Purpose Datasets
d. General Observation Classes in SDTM
e. SDTM Standard Domain Models
f. Creating New Domain
Submitting Data in Standard Format
a. Assumptions for Domain Models
b. General Assumptions for all Domains
Models for Special Purpose Domains
a. DM, CO, SE and SV
Domain Models Based on the General Observation Classes
1. Interventions
a. CM, EX , SU, EC
2.Events
a. AE, DS, MH, DV, HO
3. Findings
a. LB, EG, VS, PE, IE, DD, QS etc..
4. Trial Design Domains
a. TA, TE, TS, TI and TV
5. REL REC
6. Supplemental Qualifies
- SUPPDM
- SUPPAE
- SUPPMH
- SUPPPE
- SUPPAE
SDTM Mapping Programming Using SAS
SDTM Annotation on CRF
SDTM Mapping Specifications
Real time Project on SDTM
Define.xmL
Part 3: CDISC -ADaM:
a. Introduction to ADaM
b. Why ADaM
c. Key Concepts
d. ADaM naming conventions
e. ADaM Implementation
f. Fundamentals of the ADaM Standards
g. Variables in General
h. ADSL variables
i. BDS Variables
j. Real time Project on ADAM
k. ADAE
l. ADLB
m. ADMH
n. ADDS
o. ADVS
p. ADEX
Part 4: TLFs
a. Introduction to Clinical Trail
b. Summary Reports (Tabels Listings and Figg)
c. Introduction about the ICH E6,E9 and E3
d. Protocol
e. CRF/eCRF
f. SAP
g. Mock shells
h. Introduction about the statistical reports
i. Introduction about the clinical study report
j. SAS programs development, and validation (QC)
k. MeDRA Guidelines
l. Generating Summary Reports
m. Generating Listings
n. Generating Graphs
o. Real time Project on Phase II Clinical Trial Studies (Diabetics therapeutic area)