Articles
Data Storage & Management
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
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
Biomedical research often deals with complex phenomena, and missing values can throw a wrench into our data analyses. This blogpost explains Multiple Imputation by…
- Marisha Fonseca
- December 22, 2023
Many biomedical problems require intricate, multifaceted models. Bayesian statistics can handle these complexities seamlessly, allowing you to create models that reflect…
- Marisha Fonseca
- December 15, 2023
Bayesian information borrowing allows you to leverage existing knowledge from related studies or domains. Read this post to understand Bayesian information borrowing in…
- Marisha Fonseca
- December 13, 2023
Analyzing time-to-event data is crucial in understanding the progression and outcomes of diseases, treatment effectiveness, and more. Here are some important…
- Marisha Fonseca
- November 27, 2023
To ensure the validity and reliability of your findings, it's essential to take specific precautions during statistical analysis. This blogpost lists 10 key precautions…
- Marisha Fonseca
- November 21, 2023
This blogpost explains some key considerations for analyzing clustered data, along with common approaches and their advantages and disadvantages.
- Marisha Fonseca
- November 16, 2023
Researchers employ statistical approaches, including machine and deep learning approaches. These methods help researchers and healthcare professionals make accurate…
- Marisha Fonseca
- November 6, 2023