A picture is worth a thousand tables : graphics in life sciences
著者
書誌事項
A picture is worth a thousand tables : graphics in life sciences
Springer, c2012
注記
Includes bibliographical references and index
内容説明・目次
内容説明
This book is devoted to the graphics of patient data: good graphs enabling straightforward and intuitive interpretation, efficient creation, and straightforward interpretation. We focus on easy access to graphics of patient data: the intention is to show a large variety of graphs for different phases of drug development, together with a description of what the graph shows, what type of data it uses, and what options there are. The main aim is to provide inspiration in form of a "graphics cookbook." Many graphs provide creative ideas about what can be done. The book is not intended to be technical. It introduces general principles of good visualization to make readers understand the concepts, but the main focus is on the creativity and usefulness: readers are enabled to browse through the book to get ideas of how their own data can be analyzed graphically.
For additional information visit Editor's companion website: http://www.elmo.ch/doc/life-science-graphics/
目次
Concepts and Principles of Clinical Data Graphics.- Graphics for Exploratory Analysis and Data Discovery in the Life Sciences.- Grables: Visual Displays That Combine the Best Attributes of Graphs and Tables.- The Use of Figures in Epidemiological Publications: A Survey of Current Practice and Consequent Recommendations.- Use of Graphics for Studies with Small Sample Sizes: A Simulated Case Study of an Early-Phase Asset for Treatment of Type 2 Diabetes Mellitus (T2DM).- Exploring Pharmacokinetic and Pharmacodynamic Data.- (Interactive) Graphics for Biomarker Assessment.- Graphical Displays for Biomarker Data.- Statistical Graphics in Clinical Oncology.- Efficient and Effective Review of Clinical Trial Data Safety Using Interactive Graphs and Tables.- Visualizing Dose-Response when the Signal to Noise Ratio is Low: The Bronchodilatory Response in Chronic Obstructive Pulmonary Disease.- Statistical Graphics in Late-Stage Drug Development.- Graphical Data Exploration in QT Model Building and Cardiovascular Drug Safety.- Data Visualization at the Individual Patient Level.- Graphics for Meta-Analysis.- Visualization of QT Data for Thorough QT Study Analysis and Review.- Graphics for Safety Analysis.- Cardiac Safety.- Data Visualization for Clinical Trials Data Management and Operations.- Post-Approval Uses of Clinical Data, Phase IV Data, and Sales & Marketing Data Visualizations.- Using Exploratory Visualization in the Analysis of Medical Product Safety in Observational Healthcare Data.
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