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In research, English has probably helped break down barriers more than it has divided people, but the predominance of English is not an unalloyed good. The expectation…
Empowering ESL researchers: tips for International publishers and collaborators
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Read this blogpost to understand what Bayesian Neural Network is, its advantages, and challenges.
A handy guide to Bayesian Neural Networks for biomedical researchers
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This article sheds light on various tools tailored for biomedical researchers, each equipped with unique features and functionalities.
5 Tools to make meta-analysis easier for biomedical researchers
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This blogpost breaks down Sequential Multiple Assignment Randomized Trial (SMART) and explores why it's becoming a game-changer for biomedical researchers.
This blogpost will act like a guide for biomedical researchers by explaining the principle behind propensity score weighting along with its advantages and disadvantages.
In this blogpost, we will explore the usefulness of Bayesian methods in prognostic research, highlight the challenges in statistical analysis, and delve into some common…
In this blogpost, we’ll take a look at how such analyses can be conducted, with a step-by-step explanation of the process.
Biomedical research often deals with complex phenomena, and missing values can throw a wrench into our data analyses. This blogpost explains Multiple Imputation by…
Read this blogpost to understand why Bayesian methods must be used to analyze longitudinal data and which of the Bayesian methods work well.
Many biomedical problems require intricate, multifaceted models. Bayesian statistics can handle these complexities seamlessly, allowing you to create models that reflect…