CDISC SDTM ADaM Online Training👍SAS Clinical Projects Training👌Clinical SAS Training by Experts - 3

What is a Clinical Trial & How Does It Work And What Are The Different Phases of Clinical Trial Process and SAS Programmer Role in Clinical Trial Process Video Helps To Know

What are clinical trials?
What are the 4 phases of clinical trials?
What is clinical trial and its types?
How do clinical trials work?
Why is clinical trial important?
What is an example of a clinical trial?
What happens before clinical trials?
What are the different steps of clinical trial process?
What is a clinical trial and how does it work?
What are the different steps of clinical trial process?
How many phases are in a clinical trial?
What is the difference between Phase 2 and 3 trials?
What is the difference between a Phase 1 and Phase 2 clinical trial?
What are the 4 stages of drug development?
What is the role of Clinical SAS programmer?
What is SAS programming in clinical research?
How do I become a SAS Clinical programmer?
What is the salary of Clinical SAS programmer?
Who are eligible for clinical SAS?
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INTRODUCTION to Clinical Trails and CDISC standard
CDISC(SDTM/ADaM/TLF’S):
SAS programmer work flow in Clinical Industry:

FUNDAMENTALS OF THE SDTM

Observations and variables Datasets and domains Special-purpose datasets
The general observation classes The SDTM standard domain models Creating a new domain

MODELS FOR SPECIAL-PURPOSE DOMAINS
DEMOGRAPHICS
Demographics — DM
Assumptions for Demographics Domain Model Examples for Demographics Domain Model
COMMENTS
Comments — CO
Assumptions for Comments Domain Model Examples for Comments Domain Model
SUBJECT ELEMENTS AND VISITS
Subject Elements — SE
Assumptions for Subject Elements Domain Model Examples for Subject Elements Domain Model
Subject Visits — SV
Assumptions for Subject Visits Domain Model Examples for Subject Visits Domain Model

DOMAIN MODELS BASED ON THE GENERAL OBSERVATION CLASSES

INTERVENTIONS
Concomitant Medications — CM
Assumptions for Concomitant Medications Domain Model Examples for Concomitant Medications Domain Model
Exposure — EX
Assumptions for Exposure Domain Model Examples for Exposure Domain Model
Substance Use — SU
Assumptions for Substance Use Domain Model Example for Substance Use Domain Model
EVENTS
Adverse Events — AE
Assumptions for Adverse Event Domain Model Examples for Adverse Events Domain Model
Disposition — DS
Assumptions for Disposition Domain Model Examples for Disposition Domain Model
Medical History — MH
Assumptions for Medical History Domain Model Examples for Medical History Domain Model
Protocol Deviations — DV
Assumptions for Protocol Deviations Domain Model Examples for Protocol Deviations Domain Model
Clinical Events — CE
Assumptions for Clinical Events Domain Model Examples for Clinical Events Domain Model
FINDINGS
ECG Test Results — EG
Assumptions for ECG Test Results Domain Model Examples for ECG Test Results Domain Model
Inclusion/Exclusion Criteria Not Met — IE
Assumptions for Inclusion/Exclusion Criteria Not Met Domain Model Examples for Inclusion/Exclusion Not Met Domain Model
Laboratory Test Results — LB
Assumptions for Laboratory Test Results Domain Model Examples for Laboratory Test Results Domain Model
Physical Examination — PE
Assumptions for Physical Examination Domain Model Examples for Physical Examination Domain Model
Questionnaire — QS
Assumptions for Questionnaire Domain Model Examples for Questionnaire Domain Model
Vital Signs — VS
Assumptions for Vital Signs Domain Model Example for Vital Signs Domain Model
Drug Accountability — DA
Assumptions for Drug Accountability Domain Model Examples for Drug Accountability Domain Model
Pharmacokinetics Domains — PC and PP
Assumptions for Pharmacokinetic Concentrations (PC) Domain Model
Examples for Pharmacokinetic Concentrations (PC) Domain Model Assumptions for Pharmacokinetic Parameters (PP) Domain Model Example for Pharmacokinetic Parameters (PP) Domain Model
FINDINGS ABOUT
Findings About (FA) Domain Model
Assumptions for Findings About Domain Model Findings About Examples

TRIAL DESIGN DATASETS
Trial Arms Dataset — TA Assumptions for TA Dataset Trial Arms Examples
Trial Elements Dataset — TE Assumptions for TE Dataset Trial Elements Examples
Trial Visits Dataset — TV Assumptions for TV Dataset Trial Visits Examples
Trial Inclusion/Exclusion Criteria Dataset — TI
Assumptions for TI Dataset
Examples for Trial Inclusion/Exclusion Dataset Model
Trial Summary Dataset — TS
Assumptions for Trial Summary Dataset Model Examples for Trial Summary Dataset Model

ADaM (Analysis datasets)
Types of analysis datasets Creating analysis datasets Derivations like LOCF/BOCF.. Calculating CHG/PCHG

Tables, Listings, Graphs(TLFs/TLGs)

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