Biostatistical Sciences and Pharmacometrics, Novartis Pharma AG, Basel, Switzerland.
Biostatistical Sciences and Pharmacometrics, Novartis Institutes for Biomedical Research, Cambridge, Massachusetts, USA.
CPT Pharmacometrics Syst Pharmacol. 2019 Oct;8(10):705-719. doi: 10.1002/psp4.12455. Epub 2019 Aug 30.
Effective visual communication is a core competency for pharmacometricians, statisticians, and, more generally, any quantitative scientist. It is essential in every step of a quantitative workflow, from scoping to execution and communicating results and conclusions. With this competency, we can better understand data and influence decisions toward appropriate actions. Without it, we can fool ourselves and others and pave the way to wrong conclusions and actions. The goal of this tutorial is to convey this competency. We posit three laws of effective visual communication for the quantitative scientist: have a clear purpose, show the data clearly, and make the message obvious. A concise "Cheat Sheet," available on https://graphicsprinciples.github.io, distills more granular recommendations for everyday practical use. Finally, these laws and recommendations are illustrated in four case studies.
有效的可视化沟通是药剂师、统计学家，更广泛地说，是任何定量科学家的核心能力。它在定量工作流程的每个步骤中都至关重要，从范围界定到执行以及沟通结果和结论。有了这种能力，我们就能更好地理解数据，并影响决策，采取适当的行动。没有这种能力，我们就会自欺欺人，为错误的结论和行动铺平道路。本教程的目的是传达这种能力。我们提出了定量科学家有效可视化沟通的三大定律：目的明确、数据清晰、信息明显。简洁的“秘籍”可在 https://graphicsprinciples.github.io 上获取，其中包含了更具体的日常实用建议。最后，这些定律和建议在四个案例研究中得到了说明。
