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In this blogpost, we’ll explore the magic of Markov Chain Monte Carlo (MCMC) and how to leverage its potential in biomedical research, starting with a quick explanation…
- Marisha Fonseca
- September 15, 2023
This blogpost will act like a guide for biomedical researchers by explaining the principle behind propensity score weighting along with its advantages and disadvantages.
- Marisha Fonseca
- January 10, 2024
Bootstrapping is a powerful tool, but like any statistical method, it should be applied thoughtfully. Read this post to learn all about bootstrapping.
- Marisha Fonseca
- September 13, 2023
This blogpost will give you an overview of Bayesian hierarchical models and outline some best practices you can follow while using them.
- Marisha Fonseca
- September 25, 2023
This infographic presents five key things biomedical researchers need to know about correlation analysis in order to produce reliable results.
- Marisha Fonseca
- December 1, 2023
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…
- Marisha Fonseca
- November 1, 2023
In this blogpost, we’ll break down Principal Components Analysis (PCA) in simple terms, explore its applications in biomedical research, discuss its advantages and…
- Marisha Fonseca
- October 19, 2023
In this blogpost, we'll demystify how Bayesian statistics can revolutionize your approach to meta-analysis.
- Marisha Fonseca
- October 23, 2023
In this blog post, we’ll explore five key trends that are currently shaping statistical analysis in the field.
- Marisha Fonseca
- August 1, 2023
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…
- Marisha Fonseca
- October 16, 2023