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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
This is a comprehensive guide to take you through the ins and outs of reference-management software programs and how to harness their full potential.
- Debraj Manna
- October 31, 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
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