Clinical SAS Programming(CDISC)

Learn CDISC Standards for SAS Programming with basic overview of clinical trials and applying SAS programming skills
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22 students enrolled
Instructed by Sri C IT & Software / Other
$200
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  • Lectures 46
  • Length 6.5 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
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About This Course

Published 6/2015 English

Course Description

This course is designed to teach important concepts related to clinical sas programming which is a blend of base sas, advance sas & CDISC SDTM standards. The course focuses on

Week 1: A basic overview of clinical research

    ·Describe the clinical research process (phases, key roles, and key organizations).

    ·Describe regulatory requirements (principles of 21 CFR Part 11, International Conference on Harmonization, Good Clinical Practices).

Week 2: An introduction to CDISC standards and implementation of SDTM principles

    ·Overview of CDISC and its standards like CDASH,ODM, SDTM, ADAM

    ·Describe the structure and purpose of the CDISC SDTM data model

    ·Annotate CRF as per CDISC standards

    ·Convert Non-CDISC dataset to CDISC compliance datasets

    ·Describe the contents and purpose of define file

Week 3-Managing and Transforming techniques -Base SAS

    ·Introduction-Basic overview of SAS software

    ·Reading SAS datasets-Descriptor & Data portions

    ·Creating SAS Datasets

    ·Manipulating data- Variable creation, Subsetting Observation

    ·Combining SAS Datasets

    ·Appending, concatenating dataset

    ·Merging the SAS dataset

    ·Append data in existing data files

Week 4: Applying statistical procedures

·Use SAS procedures to obtain descriptive statistics for clinical trials data (FREQ, UNIVARIATE, MEANS, and SUMMARY).

Week 5: SAS Macro Language-Advance SAS

  1. Create and use user-defined and automatic macro variables.
  2. Automate programs by defining and calling macros.
  3. Use system options to debug macros and display values of macro variables in the SAS log (MPRINT, SYMBOLGEN, MLOGIC, and MACROGEN).

What are the requirements?

  • • No experience with SAS is required • Basic computer skills are required. • Familiarity with clinical terminology is advantageous, although not essential

What am I going to get from this course?

  • Course Goal: This course will enable you to be a competent Clinical SAS Programmer with knowledge of CDISC
  • Course Objectives: In this course, you will be able to learn • Clinical research process and associated regulatory guidelines • CDISC standards and applying SDTM principles to clinical research data • Managing, and transforming clinical trials data with sas techniques • Implementing descriptive statistical procedures and macro programming

What is the target audience?

  • • Course intended for every aspirant who wants to make a career in Clinical SAS Programming • Refresher course, for programmers working in Pharmaceutical industry or CRO’s

What you get with this course?

Not for you? No problem.
30 day money back guarantee.

Forever yours.
Lifetime access.

Learn on the go.
Desktop, iOS and Android.

Get rewarded.
Certificate of completion.

Curriculum

Section 1: Introduction
04:07

Get familiar with primary goal and learning objectives of the course

Section 2: Clinical research process and regulatory guidelines
00:35

You will get an overview of module 'Clinical research process and regulatory guidelines'.

11:31

Understand clinical research process and stages of clinical drug development

07:27

Get an overview and understand the regulatory guidelines for clinical data

01:55

Get an overview & understand the scope of 21CFR11

10 questions

This assessment will test your knowledge on module 1

Section 3: CDISC standards and SDTM principles
01:03

You will get an overview of 'CDISC Standards and SDTM Principles' Module

06:43

Get introduced to CDISC and it's scope

09:34

Understand numerous standards of CDISC and their applications

19:21

Get familiar with SDTM and it's purpose

12:14

You will be able to create SDTM domains from legacy data

11:21

Get to know how to annotate CRF following CDISC guidelines

10 questions

This assessment will test your knowledge on module 2

Section 4: Managing and transforming techniques
05:51

Get familiar with SAS and it's applications in various sectors

05:27

Understand descriptor and data value portions of SAS dataset

09:40

You will be able to create temporary and permanent sas datasets

20:47

Able to use and create datasets with infile , input statements & their associated options

11:56

Create sas datasets using format modifiers

19:55

Introduce sas functions and discusses arithmetic,string and date functions

19:58

Create sas datasets by selecting variables using KEEP & DROP statements and dataset options

13:36

You will learn to create subsets of observations

19:18

Able to select observations and write statements that select observations based on conditional logic using IF THEN,IF THEN/ELSE & DO GROUPS

00:36

Get an overview on methods to combine sas datasets

09:01

Understand concatenating & able to combine sas datasets using concatenation

07:15

Understand interleaving & able to combine sas datasets through interleaving

29:26

Learn how to merge SAS datasets

10 questions

This assessment will test your knowledge on module 3

Section 5: Applying statistical procedures
00:53

You will get an overview of module 'Statistical procedures'

10:15

Understand PROC MEANS and use PROC MEANS for data management & basic data analysis

15:04

Understand PROC FREQ and generate reports using PROC FREQ

16:20

Understand PROC SUMMARY and generate summary statistics using PROC SUMMARY

13:00

Understand PROC Univariate and learn to analyse data using Proc Univariate

10 questions

This assessment will test your knowledge on module 4

Section 6: Macro programming
00:50

You will get an overview of module 'MACRO PROGRAMMING'

04:41

Get familiar with SAS macros,macro language and its components

09:11

Get introduced to Macro variables and able to create & use macro variables

07:41

Pass information to macros using parameters

10:06

Define & call macros and learn to use macro quoting functions

17:28

Define & call macros using macro expressions and data step interfaces

12:09

Debug macros by using SAS system options

10 questions

This assessment will test your knowledge on module 5

Section 7: Final assessment
Article

This practice activity will test your knowledge on PROC MEANS

1 page

This practice activity will test your knowledge on PROC FREQ

Article

This practice activity will test your knowledge on Macros

Article

This practice activity will test your knowledge on Macros

Article

This practice activity will test your knowledge on macros

1 page

This practice activity with test your knowledge on relating domains to respective observation classes

1 page

This practice activity with test your knowledge on annotating CRF with CDISC SDTM variables

1 page

This practice activity with test your knowledge on annotating CRF with CDISC SDTM variables

1 page

This practice activity with test your knowledge on annotating CRF with CDISC SDTM variables

1 page

This practice activity with test your knowledge on converting non-SDTM datasets to SDTM datasets

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Instructor Biography

Sri C, M.S Life Sciences

With over 2+yrs of cross-functional experience across various industry verticals,got expertise with 

1. Writing SAS programs to generate tables, listings, and figures and analysis datasets.

2.Macro development

3. Knowledge of clinical and pharmaceutical drug    development and associated ICH/GCP guidelines

4. Converting the legacy data into CDISC-SDTM data standards

5.Experience of  extracting,manipulating,summarizing,analyzing and presenting data using SAS procedures

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