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Lasso penalized regression has proven to be a valuable asset in genetics research, aiding researchers in the identification of key genetic markers. By understanding its…
- Marisha Fonseca
- February 23, 2024
Choosing the best regression method depends on several factors, including the nature of your data, the relationship between variables, and the assumptions of the…
- Marisha Fonseca
- February 18, 2024
In biomedical research, recognizing and interpreting heterogeneity and homogeneity of treatment effects is crucial. Embracing both concepts allows for a…
- Marisha Fonseca
- February 14, 2024
Biomedical researchers often find themselves navigating through complex statistical methods to make sense of their data. One such method that can be incredibly useful in…
- Marisha Fonseca
- January 30, 2024
Biomedical researchers can use these tips to navigate big data with the help of a biostatistician. Researchers should to assess the data quality,…
- Marisha Fonseca
- January 25, 2024
Read this blogpost to understand what Bayesian Neural Network is, its advantages, and challenges.
- Marisha Fonseca
- January 22, 2024
This article sheds light on various tools tailored for biomedical researchers, each equipped with unique features and functionalities.
- Marisha Fonseca
- January 19, 2024
This blogpost breaks down Sequential Multiple Assignment Randomized Trial (SMART) and explores why it's becoming a game-changer for biomedical researchers.
- Marisha Fonseca
- January 17, 2024
This blogpost will act like a guide for biomedical researchers by explaining the principle behind propensity score weighting along with its advantages and disadvantages.
- Marisha Fonseca
- January 10, 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