data science

Moving from SAS to R – Practical Tips Part 1

The use of R in the pharmaceutical and healthcare industry has been increasing over the years, with larger companies like Roche adopting it as their primary statistical software. Others like GSK, NovoNordisk, and Merck make heavy investments into it.  In this episode, Thomas Neitmann discusses various lessons from his career within pharma and the role …

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Framework for estimating policy estimands

In our world of clinical trials and observational studies, missing data based on drop outs or for others reasons leads to a challenge in understanding how well treatments work. Treatment policy estimands help us to understand efficacy based on early treatment decisions. Various approaches, like reference-based imputation and delta adjustment, exist to speculate what may have …

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3 steps to make your research more reproducible

Reproducible research is a key part of research in the pharma industry. It allows for transparency, understanding, and accuracy in the research process. But how can you make your research more reproducible? Today, I talk with Heidi Seibold who has dedicated her career to helping researchers become more reproducible. Let’s take a look at 3 …

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