SAS® Essentials: for Pharmaceutical Users

Role

Clinical data managers,Statistical Programmers and Statisticians

Duration

3 Days

Description

This course has been designed to ensure new users quickly become productive in the data manipulation for cleaning and reporting of clinical trial data. The course also contains advanced topics not covered in our standard SAS System Essentials courses. This course: focuses on topics relevant to data management and reporting; uses specific clinical data; discusses clinical trial databases, clinical trial data and how SAS is used in the clinical trial process.

Prerequisites

Before attending this course, you should have: An understanding of your company's clinical trial process. An understanding of the role of biometrics in clinical trials, encompassing data management, statistical programming and statistics. An understanding of your operating system and some experience of programming in other languages or packages would be useful but is not essential.

SAS Modules Used

Base SAS

Course Topics

Introduction:

• Clinical Trial Database Structures
• Clinical Trial Data
• How SAS is used in Clinical Trials

Accessing Data:

• Getting Started with SAS Software
• Introduction to SAS Data Sets
• Accessing Existing SAS Data Sets

Data Manipulation:

• Creating New Variables
• Controlling Output of Variables and Observations
• Sorting SAS Data Sets
• Merging SAS Data Sets
• SAS Supplied Formats and User-defined Formats
• Converting and Manipulating Character and Numeric Data
• SAS Dates
• Conditional Processing using IF…THEN…ELSE Logic

Data Analysis:

• Frequency Reports
• Simple Descriptive Statistics using the MEANS
• SUMMARY and UNIVARIATE procedures
• Creating Output Data Sets from Statistical Procedures

Objectives

After attending this course, you will be able to: Understand how SAS is used in the pharmaceutical industry, Create and read SAS data sets, Combine SAS data sets through merging, Create SAS variables and recode data values, Investigate and summarise your data, Calculate simple statistics.