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SAS programming in the pharmaceutical industry / Jack Shostak.
Author
Shostak, Jack
[Browse]
Format
Book
Language
English
Published/Created
Cary, N.C. : SAS Institute, ©2005.
Description
xviii, 332 pages : illustrations ; 23 cm
Availability
Available Online
O'Reilly Online Learning: Academic/Public Library Edition
Copies in the Library
Location
Call Number
Status
Location Service
Notes
Engineering Library - Stacks
RS122.2 .S56 2005
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Details
Subject(s)
Pharmaceutical technology
—
Data processing
[Browse]
Pharmaceutical industry
—
Data processing
[Browse]
SAS (Computer file)
[Browse]
Related name
SAS Institute
[Browse]
Summary note
At last! A real-world reference guide for clinical trial SAS programming, packed with solutions that programmers can apply to their day-to-day problems. Discover key techniques and tools available within Base SAS (including the macro language and PROC SQL), SAS/GRAPH?, and SAS/STAT? that can be used to resolve many common issues in working with clinical trial data. Organized to reflect the statistical programmer's work flow, this user-friendly text begins with an introduction to the working environment, then presents chapters on importing and massaging data into analysis data sets, producing clinical trial output, and exporting data. Valuable plug-and-play programming examples are provided throughout. Whether you're a novice seeking an introduction to SAS programming for the pharmaceutical industry or a junior-level programmer exploring new approaches to problem solving, you'll find a wealth of practical suggestions to help you sharpen your skills.
Notes
Includes index.
Contents
Chapter 1: Environment and Guide Principles
The Statistical Proframmer's Working Environment
Pharmaceutical Industry Vocabulary
Statistical Programmer Work Description
The Drug/Device Development Process
Industry Regulations and Standards
Your Clinical Trial Colleagues
Guiding Principles for the Statistical Programmer
Understanding the Clinical Study
Program a Task Once and Reuse Your Code Everywhere
Clinical Trial Data Are Dirty
Use SAS Macros Judiciously
A Good Programmer Is a Good Student
Strive to Make Your Programming Readable
Chapter 2: Preparing and Classifying Clinical Trial Data
Preparing Clinical Trial Data
"Clean" the Data If They Are Needed for Analysis
Categorize Data If Necessary
Avoid Hardcoding 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
Importing Relational Databases and Clinical Data Management Systems
SAS/ACCESS SQL Pass-Through Facility
SAS/ACCESS LIBNAME Statement
Importing ASCII Text
PROC IMPORT and the Import Wizard
SAS DATA Step
SAS Enterprise Guide
Importing Microsoft Office Files
LIBNAME Statement
Import Wizard and PROC IMPORT
Importing XML
XML LIBNAME Engine
SAS XML Mapper
PROC CDISC
Importing Files in Other Proprietary Data Formats
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
Critical Variables Data Set
Change-from-Baseline Data Set
Time-to-Event Data Set
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 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
Creating ASCII Text Output
Creating Rich Text Format (RTF) Output
Creating Portable Document Format (PDF) Files
"Page X of N" Pagination Solutions
Footnote Indicating SAS Program and Date
SAS Macro-Based Reporting Systems
Chapter 6: Creating Clinical Trial Graphs
Common Clincial Trial Graphs
Scatter Plot
Line Plot
Bar Chart
Box Plot
Odds Ratio Plot
Kaplan-Meier Survival Estimates Plot
SAS Tools for Creating Clinical Trial Graphs
Common Clinical Trial SAS/GRAPH Procedures
Using the Annotate Facility for Graph Augmentation
Sample Graphs
Creating a Scatter Plot
Creating a Line Plot
Creating a Bar Chart
Creating a Box Plot
Creating an Odds Ratio Plot
Creating a Kaplan-Meier Survival Estimates Plot
Output Options
Selecting Graphic Drivers
Using ODS Destinations for SAS/GRAPH
Using SAS/GRAPH Assistants
Graph-N-Go
SAS Enerprise Guide
ODS Graphics
When You Should Use SAS/GRAPH
Chapter 7: Performing Common Analyses and Obtaining Statistics
Obtaining Descriptive Statistics
Using PROC FREQ to Export Descriptive Statistics
Using PROC UNIVARIATE to Export Descriptive Statistics
Obtaining Inferential Statistics from Categorical Data Analysis
Performing a 2x2 Test for Association
Performing an NxP Test for Association
Performing a Stratified NxP Test for Association
Performing Logistic Regression
Obtaining Inferential Statistics from Continuous Data Analysis
Performing a One-Sample Test of the Mean
Performing a Two-Sample Test of the Means
Performing a N-Sample Test of the Means
Obtaining Time-to-Event Analysis Statistics
Obtaining Correlation Coefficients
General Approach to Obtaining Statistics
Chapter 8: Exporting Data
Exporting Data to the FDA
Using the SAS XPORT Transport Format
Creating XML Files
Exporting Data Not Destined for the FDA
Exporting Data with PROC CPORT
Exporting ASCII Text
Exporting Data to Microsoft Office Files
Exporting Other Proprietary Data Formats
Encryption and File Transport Options
Chapter 9: The Future of SAS Programming in Clinical Trials
Changes in the Business Environment
Changes in Technology
Changes in Regulations
Changes in Standards
Use of SAS Software in the Clinical Trial Industry
Chapter 10: Further Resources
Regulatory Resources
SAS Programming Validation
FDA Resources
Standards and Industry Organizations
SAS Help
SAS-L
SAS Technical Support
SAS Users Groups
SAS Manuals and Online Documentation
SAS Press
Community Pages at SAS
Third-Party SAS Web Pages
Useful Technical Skills
Scripting
Version Control Software
VBScript/JavaScript for Applications
Systems Development Life Cycle
Modeling Tools
Markup Languages
File Transport and Data Encryption Technologies
Other Applications Development Languages
Qualifying for and Obtaining a Job.
Show 161 more Contents items
ISBN
1590477936 ((paperback))
9781590477939 ((paperback))
LCCN
2006275341
OCLC
62777123
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Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage.
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SAS programming in the pharmaceutical industry / Jack Shostak.
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