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Research Data Management
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Data dredging refers to the practice of exploring data exhaustively, trying out different combinations and analyses until a statistically significant result is found,…
- Marisha Fonseca
- July 10, 2023
Have you ever wondered whether collecting data at multiple time points from the same set of subjects could introduce some bias into your results? Well, repeated measures…
- Marisha Fonseca
- July 5, 2023
In this blog post we will explore the transformative potential of statistical analysis and how you can optimize its power to unlock new realms of research excellence.
- Marisha Fonseca
- June 29, 2023
In this blog post, we will explore the impact of misclassification of variables, provide practical examples to illustrate their significance, and discuss strategies to…
- Marisha Fonseca
- June 27, 2023
This article discusses how to intelligently use datasets, software, hardware, publications, and educational resources to improve the open science ecosystem.
- David Burbridge
- June 21, 2023
In this post, David explores some potential benefits that Apple Vision Pro or similar devices could bring to scientific research and education.
- David Burbridge
- June 16, 2023
This article takes a look at the potential of deep learning and its remarkable impact on the biomedical landscape.
- Marisha Fonseca
- June 14, 2023
This blogpost looks at the crucial role that statistics plays in the identification of biomarkers from omics data, and get an idea of the powerful tools and methods that…
- Marisha Fonseca
- June 12, 2023
This blogpost introduces various statistical methods you can use to mitigate the challenges of missing and incomplete data in observational studies and clinical trials.
- Marisha Fonseca
- May 10, 2023
In this blogpost, we will delve into what ascertainment bias is, its implications in biomedical research, and strategies to prevent it, particularly for experienced…
- Marisha Fonseca
- May 8, 2023