4 citations · 11 across the 5 of their papers we have counts for
5 papers
Predicting subgroup treatment effects for a new study: Motivations, results and learnings from running a data challenge in a pharmaceutical corporation
Björn Bornkamp, Silvia Zaoli, Michela Azzarito +6
We present the motivation, experience and learnings from a data challenge conducted at a large pharmaceutical corporation on the topic of subgroup identification. The data challeng…
Why we should respect analysis results as data
Joana M Barros, Lukas A Widmer, Mark Baillie +1
The development and approval of new treatments generates large volumes of results, such as summaries of efficacy and safety. However, it is commonly overlooked that analyzing clini…
A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs
Hanxi Sun, Jason Plawinski, Sajanth Subramaniam +7
Sharing data from clinical studies can facilitate innovative data-driven research and ultimately lead to better public health. However, sharing biomedical data can put sensitive pe…
Tutorial: Effective visual communication for the quantitative scientist
Marc Vandemeulebroecke, Mark Baillie, Alison Margolskee +1
Effective visual communication is a core competency for pharmacometricians, statisticians, and more generally any quantitative scientist. It is essential in every step of a quantit…
Folksonomic Tag Clouds as an Aid to Content Indexing
Morgan Harvey, Mark Baillie, Ian Ruthven +1
Social tagging systems have recently developed as a popular method of data organisation on the Internet. These systems allow users to organise their content in a way that makes sen…