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SAS GRAPHICS FOR CLINICAL TRIALS BY EXAMPLE
Create industry-compliant graphs with this practical guide for professionals Analysis of clinical trial results is easier when the data is presented in a visual form. However, clinical graphs must conform to specific guidelines in order to satisfy regulatory agency requirements. If you are a program...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[S.l.] :
SAS INSTITUTE,
2020.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
MARC
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| 100 | 1 | |a Harris, Kriss. | |
| 245 | 1 | 0 | |a SAS GRAPHICS FOR CLINICAL TRIALS BY EXAMPLE |h [electronic resource]. |
| 260 | |a [S.l.] : |b SAS INSTITUTE, |c 2020. | ||
| 300 | |a 1 online resource | ||
| 505 | 0 | |a Intro -- Contents -- About This Book -- What Does This Book Cover? -- Is This Book for You? -- What Are the Prerequisites for This Book? -- What Should You Know about the Examples? -- We Want to Hear from You -- About These Authors -- Acknowledgments -- Acknowledgments -- Chapter 1: Introduction to Clinical Graphics -- 1.1 Introduction to Output Delivery System Statistical -- Graphics -- 1.2 Reason Why Clinical Graphs Are Needed and What They -- Should Convey -- 1.3 Chapter Summary -- References -- Chapter 2: Using SAS to Generate Graphs for Adverse Events | |
| 505 | 8 | |a 2.1 Introduction to Adverse Events -- 2.2 Reports for Adverse Events -- 2.3 Adverse Events MedDRA Coding -- 2.4 Toxicity Grade for Adverse Events -- 2.5 Report for Maximum Grade 1 Adverse Events by -- Treatment Group -- 2.6 Report for Time to Adverse Events by Treatment Group -- 2.7 Treatment Risk Difference for Adverse Events -- 2.8 Adverse Event Profile Plot -- 2.9 Chapter Summary -- References -- Chapter 3: Using SAS to Generate Graphs for Data Collected Over Time -- 3.1 Introduction on Findings Data -- 3.2 Laboratory Values Over Time for Each Laboratory -- Parameter | |
| 505 | 8 | |a 3.3 Individual Patient Changes -- 3.4 Mean Change from Baseline Over Time -- 3.5 Laboratory Values Shift from Baseline to Post-Baseline -- Plot -- 3.6 Chapter Summary -- References -- Chapter 4: Using SAS to Generate Graphs for Exposure and Patient Disposition -- 4.1 Introduction to the Napoleon Plot/Swimmer Plot -- 4.2 Creating a Napoleon Plot/Swimmer Plot -- 4.3 Creating a Napoleon Plot for Many Patients That -- Highlights Dose Interruptions -- 4.4 Chapter Summary -- References -- Chapter 5: Using SAS to Generate Graphs for Time-to-Event Endpoints -- 5.1 Introduction to Time-to-Event Endpoints | |
| 505 | 8 | |a 5.2 Survival Curves for Time-to-Event Endpoints -- 5.3 Forest Plots from Overall Survival Hazard Ratios -- 5.4 Chapter Summary -- References -- Chapter 6: Using SAS to Generate Graphs for Tumor Response -- 6.1 Introduction on Tumor Response -- 6.2 Assessment of Tumor Burden -- 6.3 Measurement of Longest Diameter Over Time Per -- Patient -- 6.4 Waterfall Plot of Best Overall Response with Best -- Percentage Change in Tumor Burden -- 6.5 Spider Plot of Percentage Change from Baseline for Each -- Patient Over Time -- 6.6 Swimmer Plot for Overall Response During Course of -- Study | |
| 505 | 8 | |a 6.7 Other Types of Plots for Oncology Data -- 6.8 Chapter Summary -- References -- Chapter 7: Using SAS to Generate Special Purpose Graphs -- 7.1 Introduction to Special Purpose Graphs -- 7.2 Interactive Graphs -- 7.3 Venn Diagrams -- 7.4 Chapter Summary -- References -- Appendix -- Chapter 8: Building the Seemingly Impossible -- 8.1 Introduction to Patient Profile Plot -- 8.2 Chapter Summary -- References -- Chapter 9: Selecting the Ideal Style, Output Format, and Graphical Options -- 9.1 Introduction to Styles, Output Format, and Graphical -- Options -- 9.2 Custom Styles | |
| 520 | |a Create industry-compliant graphs with this practical guide for professionals Analysis of clinical trial results is easier when the data is presented in a visual form. However, clinical graphs must conform to specific guidelines in order to satisfy regulatory agency requirements. If you are a programmer working in the health care and life sciences industry and you want to create straightforward, visually appealing graphs using SAS, then this book is designed specifically for you. Written by two experienced practitioners, the book explains why certain graphs are requested, gives the necessary co. | ||
| 590 | |a O'Reilly |b O'Reilly Online Learning: Academic/Public Library Edition | ||
| 630 | 0 | 0 | |a SAS (Computer file) |
| 630 | 0 | 7 | |a SAS (Computer file) |2 fast |0 (OCoLC)fst01364029 |
| 650 | 0 | |a Clinical trials |x Statistical methods. | |
| 650 | 0 | |a Clinical medicine |x Research. | |
| 650 | 2 | |a Research Design | |
| 650 | 6 | |a Études cliniques |x Méthodes statistiques. | |
| 650 | 6 | |a Médecine clinique |x Recherche. | |
| 650 | 7 | |a Clinical medicine |x Research. |2 fast |0 (OCoLC)fst00864379 | |
| 650 | 7 | |a Clinical trials |x Statistical methods. |2 fast |0 (OCoLC)fst00864440 | |
| 700 | 1 | |a Watson, Richann. | |
| 776 | 0 | 8 | |i Print version: |a Harris, Kriss |t SAS Graphics for Clinical Trials by Example |d Cary, NC : SAS Institute,c2020 |z 9781952365959 |
| 856 | 4 | 0 | |u https://learning.oreilly.com/library/view/~/9781952365973/?ar |z Texto completo (Requiere registro previo con correo institucional) |
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