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n this article, we celebrate five prominent female academic leaders whose contributions have not only shaped their respective fields but have also become beacons of…
5 Inspiring women leading academia in the Global South
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In the vast ocean of statistical methods, biomedical researchers often find themselves at a crossroads when choosing between traditional frequentist statistics and the…
Choosing between Frequentist and Bayesian statistics: a guide for biomedical researchers
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There are ways to strike a balance between career aspirations and caregiving responsibilities, and institutions are beginning to recognize the need for policies that…
Balancing act: from bench to bassinet and back
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Whether you’re a scientist or not, you first run a basic Google search when looking up unknown scientific terms you encounter when reading an article or listening to a…
In the intricate world of academic publishing, one crucial step can make or break your manuscript: selecting the right reviewers. Here are some do's and don'ts.
Data cleaning sets the foundation for trustworthy analyses and robust results. This post uncovers some of the common pitfalls that might trip researchers up during the…
I need a little motivation right now – a nice reminder of why I wanted to be a scientist and why I get up every morning to go to work, even on the most unglamorous…
  • Guest Author
  • May 21, 2019
This blogpost breaks down Sequential Multiple Assignment Randomized Trial (SMART) and explores why it's becoming a game-changer for biomedical researchers.
Read this blogpost to understand what Bayesian Neural Network is, its advantages, and challenges.
In this blogpost, we've examined how machine learning benefits various aspects of clinical trial management, from planning the study to overseeing participants and…