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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
Researchers employ statistical approaches, including machine and deep learning approaches. These methods help researchers and healthcare professionals make accurate…
- Marisha Fonseca
- November 6, 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 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
Read this article to understand heteroskedasticity and homoskedasticity in order to assess the quality of data, make informed decisions about statistical methods, and…
- Marisha Fonseca
- October 11, 2023
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…
- Marisha Fonseca
- October 30, 2023
In this blog post, we’re going to take a journey through sophisticated data visualization techniques and tools that have been proven useful and valuable for biomedical…
- Marisha Fonseca
- September 27, 2023
This article explains what is survival analysis, its uses, how to conduct a survival analyses, and some best practices.
- Marisha Fonseca
- October 31, 2023
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…
- Marisha Fonseca
- October 20, 2023
Analyzing time-to-event data is crucial in understanding the progression and outcomes of diseases, treatment effectiveness, and more. Here are some important…
- Marisha Fonseca
- November 27, 2023