Clinical Graphs Using SAS

Sanjay Matange

Description

SAS users in the Health and Life Sciences industry need to create complex graphs to analyze biostatistics data and clinical data, and they need to submit drugs for approval to the FDA. Graphs used in the HLS industry are complex in nature and require innovative usage of the graphics features. Clinical Graphs Using SAS® provides the knowledge, the code, and real-world examples that enable you to create common clinical graphs using SAS graphics tools, such as the Statistical Graphics procedures and the Graph Template Language.
This book describes detailed processes to create many commonly used graphs in the Health and Life Sciences industry. For SAS® 9.3 and SAS® 9.4 it covers many improvements in the graphics features that are supported by the Statistical Graphics procedures and the Graph Template Language, many of which are a direct result of the needs of the Health and Life Sciences community. With the addition of new features in SAS® 9.4, these graphs become positively easy to create.
Topics covered include the usage of SGPLOT procedure, the SGPANEL procedure and the Graph Template Language for the creation of graphs like forest plots, swimmer plots, and survival plots.

Sujets

• Clinical
• Graphics
• Graph
• Analysis

Informations

• Publié par: SAS Institute
• Date de parution: 21 mars 2016
• Nombre de lectures: 0
• EAN13: 9781629602059
• Langue: English
• Poids de l'ouvrage: 22 Mo

Extrait

Clinical Graphs Using SAS
Sanjay Matange
support.sas.com/bookstore
The correct bibliographic citation for this manual is as follows: Matange, Sanjay. 2016. Clinical Graphs Using SAS . Cary, NC: SAS Institute Inc.
Clinical Graphs Using SAS
Copyright 2016, SAS Institute Inc., Cary, NC, USA
ISBN 978-1-62959-701-0 (Hard copy) ISBN 978-1-62960-205-9 (EPUB) ISBN 978-1-62960-206-6 (MOBI) ISBN 978-1-62960-207-3 (PDF)
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Contents
About This Book
About The Author
Acknowledgements
Preface
Chapter 1: Introduction to ODS Graphics
1.1 A Brief History of ODS Graphics
1.2 Automatic Graphs from SAS Analytical Procedures
1.3 Create Custom Graphs Using the Graph Template Language (GTL)
1.4 Create Custom Graphs Using the Statistical Graphics (SG) Procedures
1.5 Create Custom Graphs Using the ODS Graphics Designer Application
1.6 Data Sets and ODS Styles
1.7 Color and Grayscale Graphs
1.8 Summary
Chapter 2: A Brief Overview of the SG Procedures
2.1 Single-Cell Graph Using the SGPLOT Procedure
2.2 Multi-Cell Classification Panels Using the SGPANEL Procedure
2.3 Multi-Cell Comparative Scatter Plots Using the SGCATTER Procedure
2.4 Automatic Features
2.5 The SGPLOT Procedure
2.5.1 Required Roles
2.5.2 Optional Data Roles
2.5.3 Plot Options
2.6 Plot Layering
2.7 SGPANEL Procedure
2.7.1 Layout PANEL
2.7.2 Layout LATTICE
2.7.3 Layout COLUMNLATTICE
2.7.4 Layout ROWLATTICE
2.8 Combining Statements
2.9 Annotation
2.10 Styles and Their Usage
2.11 Summary
Chapter 3: Clinical Graphs Using the SAS 9.3 SGPLOT Procedure
3.1 Box Plot of QTc Change from Baseline
3.1.1 Box Plot of QTc Change from Baseline with Outer Risk Table
3.1.2 Box Plot of QTc Change from Baseline with Inner Risk Table
3.1.3 Box Plot of QTc Change from Baseline in Grayscale
3.2 Mean Change in QTc by Week and Treatment
3.2.1 Mean Change of QTc by Week and Treatment with Outer Table
3.2.2 Mean Change of QTc by Week and Treatment with Inner Table
3.2.3 Mean Change in QTc by Visit in Grayscale
3.3 Distribution of ASAT by Time and Treatment
3.4 Median of Lipid Profile by Visit and Treatment
3.4.1 Median of Lipid Profile by Visit and Treatment on Discrete Axis
3.4.2 Median of Lipid Profile by Visit and Treatment on Linear Axis in Grayscale
3.5 Survival Plot
3.5.1 Survival Plot with External "Subjects At-Risk" Table
3.5.2 Survival Plot with Internal "Subjects At-Risk" Table
3.5.3 Survival Plot with Internal "Subjects At-Risk" Table in Grayscale
3.6 Simple Forest Plot
3.6.1 Simple Forest Plot
3.6.2 Simple Forest Plot with Study Weights
3.6.3 Simple Forest Plot with Study Weights in Grayscale
3.7 Subgrouped Forest Plot
3.8 Adverse Event Timeline by Severity
3.9 Change in Tumor Size
3.10 Injection Site Reaction
3.11 Distribution of Maximum LFT by Treatment
3.11.1 Distribution of Maximum LFT by Treatment with Multi-Column Data
3.11.2 Distribution of Maximum LFT by Treatment Grayscale with Group Data
3.12 Clark Error Grid
3.12.1 Clark Error Grid
3.12.2 Clark Error Grid in Grayscale
3.13 The Swimmer Plot
3.13.1 The Swimmer Plot for Tumor Response over Time
3.13.2 The Swimmer Plot for Tumor Response in Grayscale
3.14 CDC Chart for Length and Weight Percentiles
3.15 Summary
Chapter 4: Clinical Graphs Using the SAS 9.4 SGPLOT Procedure
4.1 Box Plot of QTc Change from Baseline
4.1.1 Box Plot of QTc Change from Baseline
4.1.2 Box Plot of QTc Change from Baseline with Inner Risk Table and Bands
4.1.3 Box Plot of QTc Change from Baseline in Grayscale
4.2 Mean Change in QTc by Visit and Treatment
4.2.1 Mean Change in QTc by Visit and Treatment
4.2.2 Mean Change in QTc by Visit and Treatment with Inner Table of Subjects
4.2.3 Mean Change in QTc by Visit and Treatment in Grayscale
4.3 Distribution of ASAT by Time and Treatment
4.3.1 Distribution of ASAT by Time and Treatment
4.3.2 Distribution of ASAT by Time and Treatment in Grayscale
4.4 Median of Lipid Profile by Visit and Treatment
4.4.1 Median of Lipid Profile by Visit and Treatment on Discrete Axis
4.4.2 Median of Lipid Profile by Visit and Treatment on Linear Axis in Grayscale
4.5 Survival Plot
4.5.1 Survival Plot with External "Subjects At-Risk" Table
4.5.2 Survival Plot with Internal "Subjects At-Risk" Table
4.5.3 Survival Plot with Internal "Subjects At-Risk" Table in Grayscale
4.6 Simple Forest Plot
4.6.1 Simple Forest Plot
4.6.2 Simple Forest Plot with Study Weights
4.6.3 Simple Forest Plot with Study Weights in Grayscale
4.7 Subgrouped Forest Plot
4.8 Adverse Event Timeline by Severity
4.9 Change in Tumor Size
4.10 Injection Site Reaction
4.10.1 Injection Site Reaction
4.10.2 Injection Site Reaction in Grayscale
4.11 Distribution of Maximum LFT by Treatment
4.11.1 Distribution of Maximum LFT by Treatment with Multi-Column Data
4.11.2 Distribution of Maximum LFT by Treatment Grayscale with Group Data
4.12 Clark Error Grid
4.12.1 Clark Error Grid
4.12.2 Clark Error Grid in Grayscale
4.13 The Swimmer Plot
4.13.1 The Swimmer Plot for Tumor Response over Time
4.13.2 The Swimmer Plot for Tumor Response over Time in Grayscale
4.14 CDC Chart for Length and Weight Percentiles
4.15 Summary
Chapter 5: Clinical Graphs Using the SGPANEL Procedure
5.1 Panel of LFT Shifts from Baseline to Maximum by Treatment
5.1.1 Panel of LFT Shifts with Common Clinical Concern Levels
5.1.2 Panel of LFT Shifts with Individual Clinical Concern Levels
5.2 Immunology Profile by Treatment
5.2.1 Immunology Panel
5.2.2 Immunology Panel in Grayscale
5.3 LFT Safety Panel, Baseline vs Study
5.3.1 LFT Safety Panel, Baseline vs Study
5.3.2 LFT Safety Panel, Baseline vs Study
5.4 Lab Test Panel
5.4.1 Lab Test Panel with Clinical Concern Limits
5.4.2 Lab Test Panel with Box Plot, Band, and Inset Line Name
5.5 Lab Test for Patient over Time
5.5.1 Lab Test Values by Subject over Study Days
5.5.2 Lab Test Values by Subject with Study Days Band
5.6 Vital Statistics for Patient over Time
5.6.1 Vital Statistics for Patient over Time
5.6.2 Vital Statistics for Patient over Time
5.7 Eye Irritation over Time by Severity and Treatment
5.7.1 Eye Irritation over Time by Severity and Treatment
5.7.2 Vital Statistics for Patient over Time in Grayscale
5.8 Summary
Chapter 6: A Brief Review of the Graph Template Language
6.1 Getting Started
6.2 A Simple GTL Graph
6.3 GTL Graphs and Terminology
6.4 GTL Plot Statements
6.4.1 Basic Plots
6.4.2 Categorical Plots
6.4.3 Distribution Plots
6.4.4 Fit Plots
6.4.5 Parametric Plots
6.4.6 3-D Plots
6.4.7 Other Plots
6.5 GTL Layout Statements
6.5.1 The Graph Container
6.5.2 Single-Cell Layouts