Innovation

Here you can learn how to add new statistical methods to your toolbox. These may not be neccessarily cutting edge methods, but approaches, that you are not yet aware about.

Why and how to understand patient preferences

Interview with Brett Hauber Ultimately, we work to improve patients lives but traditionally the voice of the patient was not important. However, over the last decades many stakeholders shift to include the patient more in the decision-making process and patients voice their needs and preferences more. Still capturing and evaluating patient preferences does not belong …

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Introduction to Benefit-Risk Assessment

Interview with Maria Costa and Shahrul Mt-Isa Benefit-risk assessments are made by various stakeholders including sponsors, regulators, payers, physicians, and patients throughout the life-cycle of a treatment. The understanding of data plays a vital role in weighting positive and negative effects of medications. In this episode, we give you an introduction to what benefit-risk (BR) …

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Current trends in data science for pharma – findings from a qualitative survey and what we should do about it!

Interview with Ursula Garczarek Do you want to learn where the health sector might be heading in terms of data science? Do you understand the opportunities and barriers in terms of the application of data science? Are you prepared to learn the individual skills needed for these changes? Then this interview with Ursula from Cytel …

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The rise of R and what role the AIMS SIG plays in it

Do you think, R can’t be used for regulatory submissions?Are you forced to use SAS but would like to use R instead?Would you like to understand how you can make R submission proof? Then this interview with Lyn Tailor and Craig McIlloney helps you. Both work on the PSI special interest group Application and Implementation …

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