Blog
The end of the eCRF in local language? Workflows for meeting local and global demands in your non-interventional study (NIS)
What aspects do you need to consider when planning a multi-lingual eCRF? Are regulatory requirements effective 22 November 2017 a cut-off date for the future of eCRFs in local language?
Why the value of on-site monitoring cannot be challenged by remote/ centralized monitoring
This is not to say we should do as we always did. This is also not to promote unnecessarily frequent monitoring visits or a 100% source data verification (SDV). However, in times were risk-based quality management including centralized monitoring are in the regulatory focus, I feel we forget to reflect the undeniable value that on-site monitoring can give to a clinical study [...]
A hitchhiker’s guide to data review in an ongoing (“live”) study – part 1: data review for pharmacovigilance purposes
In a way, data review for pharmacovigilance purposes is the simplest and yet most demanding kind of data review, as time is a pressing matter in this context. The data are reviewed in different time frames according to the potential risks that arise from them [...]
What to consider when planning the sample size for a non-interventional study
The determination of an "adequate" sample size is an essential part of the statistical planning process. Depending on your type of non-interventional study design and your specific study objectives, there are different approaches for the planning of your sample size [...]
Acting out? Points to consider when planning to involve actigraphy measurements into your study design
From a medical perspective, addressing concepts of physical activity and activity capacity, vital signs (like heart rate or blood pressure), and/or sleep quality in a real-time manner rather than a snap-shot at a visit, make perfect sense and could enrich the value story of novel therapies. However, when planning to involve actigraphy measurements into your study design, there are several points to be considered, including issues of validity, data transfer and data analysis [...]
Don’t panic: It’s only the Simpson’s Paradox
Your results on the overall patient level contradict results on the subgroup level? There is no need to panic. With a deeper look into the data, one can get to the bottom of this observation. [...]