Articles
Conducting Research
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
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
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
For an academic, the significance of both reading and writing literature reviews cannot be overstated. Writing effective literature reviews needs precision, clarity, and…
- Sunaina Singh
- April 16, 2024
Here we discuss how by carefully considering the various sampling methods and their respective advantages and disadvantages, you can enhance the validity and reliability…
- Marisha Fonseca
- April 15, 2024
As vast amounts of data are published each year, scientists are constantly seeking innovative methods to extract meaningful insights from such data. One method that has…
- Marisha Fonseca
- April 9, 2024
To mark the occasion of World Health Day, we speak with patient expert Clarinda Cerejo to understand how medical researchers can involve patients in the research and…
- Mriganka Awati
- April 4, 2024
Overfitting might seem like a formidable foe, but armed with the right strategies, you can conquer it. Remember, in the world of biomedical research, robust statistical…
- Marisha Fonseca
- April 2, 2024
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
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