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In this blogpost, we’ll break down Principal Components Analysis (PCA) in simple terms, explore its applications in biomedical research, discuss its advantages and…
- Marisha Fonseca
- October 19, 2023
This blogpost looks at the crucial role that statistics plays in the identification of biomarkers from omics data, and get an idea of the powerful tools and methods that…
- Marisha Fonseca
- June 12, 2023
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
Predicting trends is an important part of biomedical research. In this blogpost, we have explained everything about time-series forecasting which can help you make…
- Marisha Fonseca
- October 30, 2023
In this quick and easy guide, we’re going to unravel the mysteries of survival analysis and how it teams up with big data to give us fascinating insights into health and…
- Marisha Fonseca
- September 7, 2023
Read this article to understand heteroskedasticity and homoskedasticity in order to assess the quality of data, make informed decisions about statistical methods, and…
- Marisha Fonseca
- October 11, 2023
This is a conversation with Dr. Monika Sobocan about the different kinds of variables in biomedical research and how to work with them.
- Marisha Fonseca
- March 16, 2023
In this blog post, we’ll break down what Regression Discontinuity Design (RDD) is, how it works, and explore some fascinating applications of RDD in answering pressing…
- Marisha Fonseca
- October 16, 2023
In this blog post, we’ll explore five key trends that are currently shaping statistical analysis in the field.
- Marisha Fonseca
- August 1, 2023
Performing cross-validation correctly can help ensure that you get robust and reliable results. Here we discuss the how's and why's of cross-validating your data. …
- Marisha Fonseca
- September 8, 2023