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Research Data Management
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This blogpost will outline some best practices that can help you not only boost your efficiency and productivity as a researcher but also contribute toward ethical…
- Marisha Fonseca
- September 18, 2023
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
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Sampling methods play a significant role in ensuring the representativeness and reliability of our findings. Two main approaches in sampling are non-probability and…
- Marisha Fonseca
- April 23, 2024
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Hidden Markov Models (HMMs) are extensively used in biomedical research for analyzing various types of sequential data, including DNA sequences, protein sequences, and…
- Marisha Fonseca
- May 2, 2024
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In scientific research, statisticians and researchers continually seek the most robust and informative methods to analyze data. The integration of Bayesian and…
- Marisha Fonseca
- March 27, 2024
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In the world of biomedical research, where every piece of data holds valuable insights, statistical tools like the Method of Moments play a crucial role. By demystifying…
- Marisha Fonseca
- February 26, 2024
In this blogpost, we will explore the usefulness of Bayesian methods in prognostic research, highlight the challenges in statistical analysis, and delve into some common…
- Marisha Fonseca
- January 10, 2024
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This blog post delves into what sensitivity analysis entails, its applications, advantages, and potential limitations in the context of biomedical research.
- Marisha Fonseca
- April 19, 2024
In this blogpost, we describe some valuable strategies for biomedical researchers eager to enhance their analytical prowess.
- Marisha Fonseca
- October 9, 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