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Data Analysis
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Accuracy and integrity are essential in biomedical research. Here are a few tips to help you collect reliable data.
- Marisha Fonseca
- September 11, 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
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
Statistical analysis is an integral part of biomedical research, right from designing the study to choosing appropriate methods and running inferential tests. Here are 7…
- Marisha Fonseca
- September 6, 2023
Statistical analysis is an integral part of biomedical research, but it’s often difficult to choose the right test to run. In this guide, we’ll delve into when and how…
- Marisha Fonseca
- September 4, 2023
T-test is a simple yet powerful tool that helps you compare the means of two groups, making it a fundamental test in biomedical research. This post covers some key…
- Marisha Fonseca
- August 28, 2023
This post is about all the ways in which a biostatistician can boost your statistical abilities, empowering you to design studies and analyze data with confidence.
- Marisha Fonseca
- August 25, 2023
In this blog post, we'll explore the challenges we often face during data cleaning and present some user-friendly solutions.
- Marisha Fonseca
- August 21, 2023
In this blogpost, we’ll look at certain best practices to strengthen your regression analyses and make sure you’re generating high-quality, robust evidence.
- Marisha Fonseca
- August 18, 2023
This post acts as your go-to guide about standardized coefficients -- what are they, when are they needed, how to interpret, and much more.
- Marisha Fonseca
- August 8, 2023