SAS Clinical Online Training Institute in Ameerpet Hyderabad

Online Software Training Institute in India

6 years ago

SAS Clinical Online Training Institute in Ameerpet Hyderabad

We are providing SAS Clinical Online Training in Ameerpet Hyderabad. We are one of best Institute to provide Best High Quality SAS Clinical online training all over India. The IT Professionals and Students from India and abroad who are unable to attend regular classes can attend our SAS Clinical online training from their home in their convenient timings. For more details on SAS Clinical Online Training please call to 9290971883 / 9247461324, or drop a mail to revanthonlinetraining@gmail.com or Whatsapp to us on : 9290971883

SAS Clinical Course Content

Course Duration : 40 Hrs

INTRODUCTION

Introduction of SAS software
Industries using SAS
Components of SAS System
Architecture of SAS system
Functionality of SAS System
Introduction of SAS windows

Working in the SAS Environment

Functionality of SAS Windows
Creating and managing SAS Libraries
Overview of SAS Data states
Types of Libraries
Storing files temporarily and permanently
Referencing SAS files

CREATION DATABASE FROM RAWDATA

Steps to create a SAS dataset
Creating SAS dataset using text file
Creating SAS dataset using text file with delimiters
Creating SAS dataset using structured text file
Creating SAS dataset using unstructured text file
Creating SAS dataset using Excel file
Creating SAS dataset using Access file
Creating SAS dataset using values inside the code

CREATING AND REDEFFING VARIABLES

Use with different conditional statements

DEBUGGING ERROR MESSAGES

DEBUGGING syntax ERROR MESSAGES

AUTOMATIC VARIABLES

Use of automatic variables
Types of automatics variables
Use of _N_, _ERROR_, _NULL_
Testing your programs
Using put statement
Automatic Variable

Output delivery system

Concepts of output delivery system
How ODS works and viewing output of ODS in different format
HTML, RTF, PDF etc.

COMBINATION the dataset

One-o-one reading
One to many
Many to many
Concatenation
Interleaving
Match merge

Functions

Character function
Numerical function
Arithmetical function
Mathematical function
Date Function

Sampling method

Random sampling

Loops in SAS : Do Loops

Loops are used to iterate through every observation for specified number of times to obtain a desired result
Types of Loops:
- Do Loop
- Do While
- Do Until
Default increments by 1
Can use BY to increment by any value other than 1

Array

Definition of array
Example of array

PROCEDURES IN BASE SAS

Procedure Format
Procedure Contents
Procedure Options
Procedure Append
Procedure Compare
Procedure Transpose
Procedure Print
Procedure Import
Procedure Export
Procedure Datasets
Procedure Tabulate
Procedure Chart, Gchart, Gplot
Procedure Report

GRAPHS

Introduction to graphics
Introduction to graphics
Types of Graphics (with latest models)
Defining procedure Graphics

Advance SAS Topic
Proc Sql

Generate detail reports by working with a single table, joining tables, or using set operators in the SQL procedure
Generate summary reports by working with a single table, joining tables, or using set operators in the SQL procedure
Construct sub-queries and in-line views within an SQL procedure step
Compare solving a problem using the SQL procedure versus using traditional SAS programming techniques
Access Dictionary Tables using the SQL procedure

Macro

Create and use user-defined and automatic macro variables within the SAS Macro Language
Automate programs by defining and calling macros using the SAS Macro Language
Understand the use of macro functions

SAS Clinical Programming

Introduction of SAS and Clinical research

SAS role in Clinical Research
What is Clinical trial?
What is Protocol and role of Protocol in Clinical Research?
Which is playing main role in Clinical Research?

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

What is SDTM
Purpose of SDTM
Domain
Variables
Role Concept
Core Variable Concept
General Observation Classes
Controlled Terminology
SDTM Mapping Process
DESIGN AND IMPLEMENTATION
SAS Program for NON SDTM to SDTM
Implement SDTM concept on SAS using live project

Creating SDTM Tabulations(Datasets)
6 Different types of SDTM Datasets

DM
SUPPDM
Findings – LB
Events – AE
Interventions – EX
Trial design datasets – TA,TE,TI,TS,TV

CDISC ADAM data model

What is ADAM
Fundamental principles
Traceability
ADaM datasets workflow
ADaM Related Process
Data Metadata
Variable Metadata
Variable Value Level Metadata
Controlled Terminology/Code Lists
Core variables
The ADaM Standard
- ADSL
- BDS

Implement ADAM concept on SAS using live project
Creating ADAM (Datasets)
4 Different types of ADAM Datasets

ADSL
ADAE
ADEF
ADtte

Describe the contents and purpose of define.xml
Statistic and Report Clinical Trials Results

Use SAS procedures to obtain descriptive statistics for clinical trials data (FREQ, UNIVARIATE, MEANS, SUMMARY)
Create output data sets from statistical procedures
Using ODS with PROC REPORT and PROC TABULATE to generate nice looking tables and listings
Producing Bar and Pie charts using PROC GPLOT and PROC GCHART

Transform Clinical Trials Data

Apply categorical and windowing techniques to clinical trials data
Transpose SAS data sets
Apply ‘observation carry forward’ techniques to clinical trials data (LOCF, BOCF, WOCF)
Calculate ‘change from baseline’ results
Windowing concept

Clinical Project

1 Project (SDTM)
1 Project (ADAM)
5 Project (TLF)

Basic Statistic

Data Exploration
Data Preparation
Summary Statistics
- Summary Statistics – Central Tendency
- Summary Statistics – Central Tendency
- Introduction to Statistics – Descriptive Statistics
- Introduction to Statistics -Samples and Populations
Hypothesis Testing
- Concept of hypothesis testing
- Chisq
- Anova