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In this blog post, we have broken down the concept of joint modeling in simple terms and explained its significance for biomedical researchers.
- Marisha Fonseca
- December 6, 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
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
This blogpost explains in detail what Bayesian statistics is, what is its use in survival analysis, and pros and cons of using different bayesian models.
- Marisha Fonseca
- November 24, 2023
To ensure the validity and reliability of your findings, it's essential to take specific precautions during statistical analysis. This blogpost lists 10 key precautions…
- Marisha Fonseca
- November 21, 2023
This blogpost explains some key considerations for analyzing clustered data, along with common approaches and their advantages and disadvantages.
- Marisha Fonseca
- November 16, 2023
In this blog post, we will explore practical tips and strategies tailored specifically for mid-career researchers in life sciences to maximize the impact of their work…
- Editage Insights
- November 9, 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
We''ll take you into the world of Bayesian methods and how they can be your secret weapon for efficient and effective data cleaning.
- Marisha Fonseca
- November 3, 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