Clinical SAS Programming

Course Content

Essentials to Start the Training

Essentials to use SAS Software

00:00

Module 1: Base SAS programming

Base SAS Programming – Intro

30:40
Chapter 1: Base SAS Fundamentals – SAS Programming Process

25:09
Chapter 1: Base SAS Fundamentals – Understanding SAS Syntax

39:36
Chapter 1: Base SAS Fundamentals – Finding & Resolving Syntax Errors

30:24
Chapter 2: Accessing Data – Types of Data

20:00
Chapter 2: Accessing Data – CONTENTS Procedure

11:31
Chapter 2: Accessing Data – Accessing SAS data directly from folder/file path

08:24
Chapter 2: Accessing Data – Accessing SAS data through library

19:25
Chapter 2: Accessing Data – Accessing Excel data using Library

13:56
Chapter 2: Accessing Data – Accessing Unstructured data into SAS

49:33
Chapter 3: Exploring Data – Listing With Print Procedure

20:58
Chapter 3: Exploring Data – Exploring Summary Statistics with Means Procedure

10:18
Chapter 3: Exploring Data – Exploring Extreme Observations with Univariate Procedure

15:09
Chapter 3: Exploring Data – Exploring Unique Values with Freq Procedure

16:05
Chapter 3: Exploring Data – Generating Output from exploring Procedures

24:07
Chapter 3: Exploring Data – Filtering Rows with the WHERE Statement

58:02
Chapter 3: Exploring Data – Filtering Rows with the WHERE – Basic Operations

39:14
Chapter 3: Exploring Data – Filtering Rows using Macro Variables

25:59
Chapter 3: Exploring Data – Filtering Rows using Combining Expressions

22:28
Chapter 3: Exploring Data – Formatting Columns

37:18
Chapter 3: Exploring Data – Sorting Data and Removing Duplicates

35:02
Chapter 4: Preparing Data – Data Step

33:24
Chapter 4: Preparing Data – Computing New Columns

01:00:47
Chapter 4: Preparing Data – Conditional Processing

58:29
Chapter 5: Analysing and Reporting on Data: Enhancing Reports with Titles, Footnotes, and Labels

46:52
Chapter 5: Analysing and Reporting on Data: Creating Frequency Reports

29:45
Chapter 5: Analysing and Reporting on Data: Creating Summary Statistic Report

30:03
Chapter 6 Exporting Results: Exporting Data to Excel

21:54
Chapter 6 Exporting Results: Exporting Reports Using the SAS Output Delivery System

44:01
Project Work

00:00

Module 2: Advance SAS Programming

Chapter 1 L1: Controlling data step processing (2 Hrs)

14:50
Chapter 1 L2: Controlling data step processing (2 Hrs)

01:02:53
Chapter 2 L1: Summarizing data (2 Hrs)

53:29
Chapter 2 L2: Summarizing data (2 Hrs)

01:14:07
Chapter 3 L1: Data manipulation with functions

07:51
Chapter 3 L2: Data manipulation with functions

20:31
Chapter 3 L3: Data manipulation with functions

49:26
Chapter 3 L4: Data manipulation with functions

36:13
Chapter 3 L5: Data manipulation with functions

30:45
Chapter 3 L5: Continuation

43:15
Chapter 4 L1 creating custom Formats

15:28
Chapter 4 L2 creating custom Formats

33:55
Chapter 5 L1 Combining tables

18:27
Chapter 5 L2 Combining tables

28:00
Chapter 5 L3 Combining tables

10:31
Chapter 6 L1: Processing repetitive code

22:11
Chapter 6 L2: Processing repetitive code

15:52
Chapter 7 L1: Restructuring tables

13:43
Chapter 7 L2: Restructuring tables

34:57

Module 3: SAS SQL Programming

Chapter 1 L1: Introduction to the SQL Procedure

04:55
Chapter 1 L2: Introduction to the SQL Procedure

12:07
Chapter 1 L3: Introduction to the SQL Procedure

03:02
Chapter 2 L1: PROC SQL Fundamentals – Generating Simple Reports

13:44
Chapter 2 L2: PROC SQL Fundamentals – Enhancing Reports using Proc SQL

07:29
Chapter 2 L3: PROC SQL Fundamentals – Creating New Column & Assigning Values using as keyword

19:31
Chapter 2 L4: PROC SQL Fundamentals – Summarizing and Grouping Data

48:41
Chapter 2 L5: PROC SQL Fundamentals – Creating Tables using Proc SQL

18:16
Chapter 2 L6: PROC SQL Fundamentals – Inserting Rows into Tables using Proc SQL

21:41
Chapter 2 L7: PROC SQL Fundamentals – Using DICTIONARY Tables

20:27
Chapter 3 L1: SQL joins – SQL INNER Joins

28:02
Chapter 3 L2: SQL joins – SQL OUTER Joins

33:27
Chapter 4 L1: Introduction to Subquery in SQL

17:49
Chapter 4 L2: Subquery in WHERE clause

17:42
Chapter 4 L3: Subquery in HAVING clause

22:23
Chapter 5 L1: Introduction to Set Operators

13:38
Chapter 5 L2: Using INTERSECT set operator to combine tables vertically

10:48
Chapter 5 L3: Using EXCEPT set operator to combine tables vertically

12:08
Chapter 5 L4: Using UNION set operator to combine tables vertically

10:11
Chapter 5 L5: Using OUTER UNION set operator

08:55
Chapter 6 L1: Creating macro variable Using INTO clause

04:51
Chapter 6 L2: Displaying Macro Variable Values

09:53
Chapter 6 L3: Using Macro Variable

07:04
Chapter 6 L4: Creating _ Displaying Multiple Macro Variable

03:03
Chapter 6 L5: Removing Leading and Trailing Blanks

07:37
Chapter 6 L6: Concatenating Values in Macro Variables

05:38
Chapter 6 L7: Using Formats when Creating Macro Variables

07:54

Module 4: SAS Macros Language

Chapter 1 L1: Basics

16:50
Chapter 1 L2: SAS Macro-Facility

07:25
Chapter 1 L3: Tokenization

08:08
Chapter 1 L4: Processing Overview

00:00
Chapter 2 L1: Creating Macro Variables with _LET

21:33
Chapter 2 L2: Using and Resolving of macro variables

27:48
Chapter 3: Macro Functions

45:29
Chapter 4: Using SQL to Create Macro Variables

14:50
Chapter 5: Using the DATA Step to Create Macro Variables

28:18
Chapter 6: Indirect References to Macro Variables

10:38
Macro data

00:00

Module 5: Clinical Domain

Chapter 1 L1: Phases of Clinical trials

36:43
Chapter 1 L2: Phases of Clinical trials

21:16
Chapter 2: Clinical Trial Study Designs

20:30
Chapter 3: CRF, eCRF and aCRF

01:05:51
Chapter 4: Clinical research Protocol & its documents for Clinical data analysis

23:05
Chapter 5: Drug Regulatory organisations and ICH guidelines

19:37
Chapter 6: International data Standards organisations

10:31
Chapter 7 L1: Statistical Analysis Plan

13:05
Chapter 7 L2: Statistical Analysis Plan

15:49
Chapter 8: Mock Shells

35:51
Chapter 9: Clinical data cleaning & transformation methods

16:35

Module 6: CDISC Models Theory

Module 7: CDISC SDTM variables mapping Using SAS

Module 8: CDISC ADaM variables conversion using SAS

Module 9: Report Writing

Module 10: Tables, Listings, Figures/Graphs as per MOCK Shells (12 Hrs)

Module 11: Validation of Clinical Trial Data

Module 12: Clinical Trial data FDA Submission Package

Projects

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About Course

Clinical SAS Programming:

SAS is a trusted analytics powerhouse for organizations seeking immediate value from their data. A deep bench of analytics solutions and broad industry knowledge keep our customers coming back and feeling confident. With SAS®, you can discover insights from your data and make sense of it all. Identify what’s working and fix what isn’t. Make more intelligent decisions. And drive relevant change.

No.1 globally in AI and advanced analytics software platform combined market share and revenue.
SAS is the only vendor named a leader in the Magic Quadrant for Data Science and Machine Learning Platforms

Total Worldwide Customer Sites
SAS software is installed at more than 83,000 business, government and university sites.

Fortune Global 1000® Customers
92 of the top 100 companies on the 2018 Fortune Global 1000® are SAS customers.

SAS® in the Life Sciences Industry – Facts & Figures

SAS is the de facto standard for clinical trials, data analysis and reporting for new product submissions to regulatory authorities, such as the US Federal Drug Administration.

2,350+ life sciences companies of all sizes use SAS
100% of the life sciences companies in the Fortune 500 use SAS
45 countries with life sciences companies using SAS

5.00 /5

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19 Courses

Enrollment validity: 180 days

Expert
35 Total Enrolled
140 hours Duration
March 19, 2024 Last Updated
Certificate of completion

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Course Content

Essentials to Start the Training

Essentials to use SAS Software

Module 1: Base SAS programming

Base SAS Programming – Intro

Chapter 1: Base SAS Fundamentals – SAS Programming Process

Chapter 1: Base SAS Fundamentals – Understanding SAS Syntax

Chapter 1: Base SAS Fundamentals – Finding & Resolving Syntax Errors

Chapter 2: Accessing Data – Types of Data

Chapter 2: Accessing Data – CONTENTS Procedure

Chapter 2: Accessing Data – Accessing SAS data directly from folder/file path

Chapter 2: Accessing Data – Accessing SAS data through library

Chapter 2: Accessing Data – Accessing Excel data using Library

Chapter 2: Accessing Data – Accessing Unstructured data into SAS

Chapter 3: Exploring Data – Listing With Print Procedure

Chapter 3: Exploring Data – Exploring Summary Statistics with Means Procedure

Chapter 3: Exploring Data – Exploring Extreme Observations with Univariate Procedure

Chapter 3: Exploring Data – Exploring Unique Values with Freq Procedure

Chapter 3: Exploring Data – Generating Output from exploring Procedures

Chapter 3: Exploring Data – Filtering Rows with the WHERE Statement

Chapter 3: Exploring Data – Filtering Rows with the WHERE – Basic Operations

Chapter 3: Exploring Data – Filtering Rows using Macro Variables

Chapter 3: Exploring Data – Filtering Rows using Combining Expressions

Chapter 3: Exploring Data – Formatting Columns

Chapter 3: Exploring Data – Sorting Data and Removing Duplicates

Chapter 4: Preparing Data – Data Step

Chapter 4: Preparing Data – Computing New Columns

Chapter 4: Preparing Data – Conditional Processing

Chapter 5: Analysing and Reporting on Data: Enhancing Reports with Titles, Footnotes, and Labels

Chapter 5: Analysing and Reporting on Data: Creating Frequency Reports

Chapter 5: Analysing and Reporting on Data: Creating Summary Statistic Report

Chapter 6 Exporting Results: Exporting Data to Excel

Chapter 6 Exporting Results: Exporting Reports Using the SAS Output Delivery System

Project Work

Module 2: Advance SAS Programming

Chapter 1 L1: Controlling data step processing (2 Hrs)

Chapter 1 L2: Controlling data step processing (2 Hrs)

Chapter 2 L1: Summarizing data (2 Hrs)

Chapter 2 L2: Summarizing data (2 Hrs)

Chapter 3 L1: Data manipulation with functions

Chapter 3 L2: Data manipulation with functions

Chapter 3 L3: Data manipulation with functions

Chapter 3 L4: Data manipulation with functions

Chapter 3 L5: Data manipulation with functions

Chapter 3 L5: Continuation

Chapter 4 L1 creating custom Formats

Chapter 4 L2 creating custom Formats

Chapter 5 L1 Combining tables

Chapter 5 L2 Combining tables

Chapter 5 L3 Combining tables

Chapter 6 L1: Processing repetitive code

Chapter 6 L2: Processing repetitive code

Chapter 7 L1: Restructuring tables

Chapter 7 L2: Restructuring tables

Module 3: SAS SQL Programming

Chapter 1 L1: Introduction to the SQL Procedure

Chapter 1 L2: Introduction to the SQL Procedure

Chapter 1 L3: Introduction to the SQL Procedure

Chapter 2 L1: PROC SQL Fundamentals – Generating Simple Reports

Chapter 2 L2: PROC SQL Fundamentals – Enhancing Reports using Proc SQL

Chapter 2 L3: PROC SQL Fundamentals – Creating New Column & Assigning Values using as keyword

Chapter 2 L4: PROC SQL Fundamentals – Summarizing and Grouping Data

Chapter 2 L5: PROC SQL Fundamentals – Creating Tables using Proc SQL

Chapter 2 L6: PROC SQL Fundamentals – Inserting Rows into Tables using Proc SQL

Chapter 2 L7: PROC SQL Fundamentals – Using DICTIONARY Tables

Chapter 3 L1: SQL joins – SQL INNER Joins

Chapter 3 L2: SQL joins – SQL OUTER Joins

Chapter 4 L1: Introduction to Subquery in SQL

Chapter 4 L2: Subquery in WHERE clause

Chapter 4 L3: Subquery in HAVING clause

Select Your Favourite
Category And Start Learning.