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We''ll take you into the world of Bayesian methods and how they can be your secret weapon for efficient and effective data cleaning.
Mixed effects models are statistical tools designed to handle complex data structures commonly encountered in biomedical research. Let’s take a look at some of the most…
This article explains what is survival analysis, its uses, how to conduct a survival analyses, and some best practices.
Predicting trends is an important part of biomedical research. In this blogpost, we have explained everything about time-series forecasting which can help you make…
In this blog post, we’ll explore what basket trials are, their significance, and the crucial considerations for statistical analysis within this innovative framework. 
In this blogpost, we'll demystify how Bayesian statistics can revolutionize your approach to meta-analysis.
In this blogpost, we’ll explore different types of cluster analysis, its real-world applications, and its pros and cons as a tool to navigate the complex landscape of…
In this blogpost, we’ll break down Principal Components Analysis (PCA) in simple terms, explore its applications in biomedical research, discuss its advantages and…
Journal guidelines are super important when it comes to submission. This post talks in detail about their importance, typical guidelines and ensure your paper follows…
In this blog post, we’ll break down what Regression Discontinuity Design (RDD) is, how it works, and explore some fascinating applications of RDD in answering pressing…