Book description
This comprehensive resource provides on-the-job training for statistical programmers who use SAS in the pharmaceutical industry
This one-stop resource offers a complete review of what entry- to intermediate-level statistical programmers need to know in order to help with the analysis and reporting of clinical trial data in the pharmaceutical industry.
SAS Programming in the Pharmaceutical Industry, Second Edition begins with an introduction to the pharmaceutical industry and the work environment of a statistical programmer. Then it gives a chronological explanation of what you need to know to do the job. It includes information on importing and massaging data into analysis data sets, producing clinical trial output, and exporting data. This edition has been updated for SAS 9.4, and it features new graphics as well as all new examples using CDISC SDTM or ADaM model data structures.
Whether you're a novice seeking an introduction to SAS programming in the pharmaceutical industry or a junior-level programmer exploring new approaches to problem solving, this real-world reference guide offers a wealth of practical suggestions to help you sharpen your skills.
This book is part of the SAS Press program.
Table of contents
- List of Programs
- About This Book
- About The Author
- Acknowledgements
- Chapter 1 Environment and Guiding Principles
-
Chapter 2 Preparing and Classifying ClinicalTrial Data
- Preparing Clinical Trial Data
-
Classifying Clinical Trial Data
- Demographics and Trial-Specific Baseline Data
- Concomitant or Prior Medication Data
- Medical History Data
- Investigational Therapy Drug Log
- Laboratory Data
- Adverse Event Data
- Endpoint/Event Assessment Data
- Clinical Endpoint Committee (CEC) Data
- Study Termination Data
- Treatment Randomization Data
- Quality-of-Life Data
- Chapter 3 Importing Data
-
Chapter 4 Transforming Data and Creating Analysis Data Sets
-
Key Concepts for Creating Analysis Data Sets
- Defining Variables Once
- Defining Study Populations
- Defining Baseline Observations
- Last Observation Carried Forward (LOCF)
- Defining Study Day
- Windowing Data
- Transposing Data
- Categorical Data and Why Zero and Missing Results Differ Greatly
- Performing Many-to-Many Comparisons/Joins
- Using Medical Dictionaries
- Other Tricks and Traps in Data Manipulation
- Common Analysis Data Sets
-
Key Concepts for Creating Analysis Data Sets
-
Chapter 5 Creating Tables and Listings
-
Creating Tables
- General Approach to Creating Tables
- A Typical Clinical Trial Table
- Using PROC TABULATE to Create Clinical Trial Tables
- Using PROC REPORT to Create Clinical Trial Tables
- Creating Typical Continuous/Categorical Summary Tables
- Creating Adverse Event Summaries
- Creating Concomitant or Prior Medication Tables
- Creating a Laboratory Shift Table
- Creating Kaplan-Meier Survival Estimates Tables
- Creating Listings
- Output Appearance Options and Issues
- SAS Macro-Based Reporting Systems
-
Creating Tables
- Chapter 6 Creating Clinical Trial Graphs
- Chapter 7 Performing Common Analyses and Obtaining Statistics
- Chapter 8 Exporting Data
- Chapter 9 The Future of SAS Programming in Clinical Trials
- Chapter 10 Further Resources
- Glossary
- Index
Product information
- Title: SAS Programming in the Pharmaceutical Industry, Second Edition, 2nd Edition
- Author(s):
- Release date: March 2014
- Publisher(s): SAS Institute
- ISBN: 9781629591490
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