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In this blogpost, we've examined how machine learning benefits various aspects of clinical trial management, from planning the study to overseeing participants and…
- Marisha Fonseca
- December 8, 2023
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With advancements in technology and data analytics, personalized medicine has witnessed a surge in interest, offering the potential to revolutionize patient care. Among…
- Marisha Fonseca
- March 6, 2024
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Biomedical researchers conducting simulation studies should consider several key statistical aspects to ensure the validity and reliability of their findings. Here, we…
- Marisha Fonseca
- March 19, 2024
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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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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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
In this blogpost, we describe some valuable strategies for biomedical researchers eager to enhance their analytical prowess.
- Marisha Fonseca
- October 9, 2023