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 talk is to convey this competency through three laws of effective visual communication for the quantitative scientist: have a clear purpose, show the data clearly, and make the message obvious.
Baldur Magnusson
Novartis
With great graphs comes great power
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 talk is to convey this competency through three laws of effective visual communication for the quantitative scientist have a clear purpose, show the data clearly, and make the message obvious.