What knowledge gaps exist regarding the implementation of these new analytical techniques, and how can statisticians and data scientists bridge them to maximize effectiveness of clinical research? Despite the promises of Bayesian approaches, the lack of expert training, software tools, and computational resources has made their adoption slow. Statisticians and data scientists should invest in …
As statisticians, we rely on good quality from programmers and data management. And if you talk to your colleagues, everybody has a story about a poor experience. But the questions are: How do we collaborate with other departments to create a quality deliverables?How to strike the right balance between working on processes and managing people …
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For years, creating data visualizations has frustrated statisticians, data analysts and data scientists. Software – especially SAS – hasn’t been great and organisation have tried to take the pain out of the process by creating standard figures. But these standard graphics fail to communicate the message to the intended audience in the best way. Great …
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Have you been considering a one-armed observational study or asked to work on such a study? As a statistician, it is important to understand the scientific but even more the political background of such studies. In this episode, we will discuss one-armed observational studies and why they are, in most cases, not a good idea. …
The world of healthcare continues to change, and it’s important to keep up with the latest advances in technology and research. That’s why I’m excited to talk with Shirley Wang, one of the leaders of RCT Duplicate, a study focused on duplicating randomized clinical trials through real world data. She is currently leading the RCT Duplicate as the …
Today I’m talking with Rachel Tham, a principal statistician, about a book that has been incredibly impactful in both of our lives—Deep Work. We discuss what deep work is and how it can help statisticians at work. Deep work is a concept developed by Cal Newport which encourages people to focus intensely on one task …