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Conducting Research
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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
The publication process involves many stakeholders, so delays are inevitable. In this post, we discuss some common bottlenecks that can slow the publication process, and…
- David Burbridge
- November 9, 2023
Despite some obvious ethical concerns, AI has significant benefits in improving research quality and time if used with caution. This blogpost talks about it at length.
- Sneha Khedkar
- November 8, 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
The supplemental data are crucial to many papers. This post answers some common questions about supplemental data, how they can help you, how they can be used…
- David Burbridge
- November 2, 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