- 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
- 2.6 Plot Layering
- 2.7 SGPANEL Procedure
- 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
- 3.2 Mean Change in QTc by Week and Treatment
- 3.3 Distribution of ASAT by Time and Treatment
- 3.4 Median of Lipid Profile by Visit and Treatment
- 3.5 Survival Plot
- 3.6 Simple Forest Plot
- 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
- 3.12 Clark Error Grid
- 3.13 The Swimmer Plot
- 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
- 4.2 Mean Change in QTc by Visit and Treatment
- 4.3 Distribution of ASAT by Time and Treatment
- 4.4 Median of Lipid Profile by Visit and Treatment
- 4.5 Survival Plot
- 4.6 Simple Forest Plot
- 4.7 Subgrouped Forest Plot
- 4.8 Adverse Event Timeline by Severity
- 4.9 Change in Tumor Size
- 4.10 Injection Site Reaction
- 4.11 Distribution of Maximum LFT by Treatment
- 4.12 Clark Error Grid
- 4.13 The Swimmer Plot
- 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
- 5.2 Immunology Profile by Treatment
- 5.3 LFT Safety Panel, Baseline vs Study
- 5.4 Lab Test Panel
- 5.5 Lab Test for Patient over Time
- 5.6 Vital Statistics for Patient over Time
- 5.7 Eye Irritation over Time by Severity and Treatment
- 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
- 6.5 GTL Layout Statements
- 6.6 GTL Title, Footnote, and Entry Statements
- 6.7 GTL Legend Statements
- 6.8 GTL Attribute Maps
- 6.9 GTL Dynamic Variables and Macro Variables
- 6.10 GTL Expressions and Conditionals
- 6.11 GTL Draw Statements
- 6.12 GTL Annotate
- 6.13 Summary
- Chapter 7: Clinical Graphs Using SAS 9.3 GTL
- 7.1 Distribution of ASAT by Time and Treatment
- 7.2 Most Frequent On-Therapy Adverse Events Sorted by Relative Risk
- 7.3 Treatment Emergent Adverse Events with Largest Risk Difference with NNT
- 7.4 Butterfly Plot of Cancer Deaths by Cause and Gender
- 7.5 Forest Plot of Impact of Treatment on Mortality by Study
- 7.6 Forest Plot of Hazard Ratios by Patient Subgroups
- 7.7 Product-Limit Survival Estimates
- 7.8 Bivariate Distribution Plot
- 7.9 Summary
- Chapter 8: Clinical Graphs Using SAS 9.4 GTL
- 8.1 Distribution of ASAT by Time and Treatment
- 8.2 Most Frequent On-Therapy Adverse Events Sorted by Relative Risk
- 8.3 Treatment Emergent Adverse Events with Largest Risk Difference with NNT
- 8.4 Butterfly Plot of Cancer Deaths by Cause and Gender
- 8.5 Forest Plot of Impact of Treatment on Mortality by Study
- 8.6 Forest Plot of Hazard Ratios by Patient Subgroups
- 8.7 Product-Limit Survival Estimates
- 8.8 Bivariate Distribution Plot
- 8.9 Summary
- Index
Acknowledgments
I wish to express my gratitude to my editor, Brenna Leath, for her steady support, to Susan Schwartz and Wei Cheng for sharing freely their expertise in clinical graphs, Philip Holland for his insights into SAS programming, and Jeanette Bottitta and Steve England for their thorough technical review of the contents.
I thank Caroline Brickley for her copyedit, Denise Jones for production, and Robert Harris for the excellent art work for the cover. I thank Armistead Sapp for helping convince everyone that this book deserves to be published in color.
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