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Episode 1 Why is visualization so important? How do you determine the goal of visualization?What is the big difference between explanatory visualization and exploratory visualization? In today’s episode, I review the different things you need to consider in creating an effective data visualization when presenting, which is the following: Never
Interview with Deborah Ashby Who is Florence Nightingale, and what is impressive about her? Why would it be interesting to talk about her at the upcoming PSI conference? She’s famous for her visualization. What could statisticians today learn from her about visualization? Despite her having a weak position in society
Interview with Rachel Phillips and Mark Baillie Do you effectively communicate complex data? How can visualization help you when you aree analyzing data? reporting data? What initiatives and groups work on this topic and will help you? In today’s episode, we talk about the advantages of using visualizations when analyzing and communicating
Real world evidence (RWE) Big data Real world data (RWD) Pragmatic studies There are lots of buzzwords floating around and especially with the FDA having a bigger focus on RWE it’s top of mind for many stakeholders. Many teams in the different pharma organizations concentrate on this type of evidence. Never miss
Interview with Karim Malki With so many recent advances in AI, it is important for statisticians to both keep up to date with the most recent methods and getting involved in guiding their application to the most pressing statistical challenges. In today’s episode, Karim and I cover cutting edge examples
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