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Research Data Management
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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
In this blogpost, we’ll take a look at how such analyses can be conducted, with a step-by-step explanation of the process.
- Marisha Fonseca
- January 4, 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
Read this blogpost to understand why Bayesian methods must be used to analyze longitudinal data and which of the Bayesian methods work well.
- Marisha Fonseca
- December 20, 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
In this blogpost, we've examined how machine learning benefits various aspects of clinical trial management, from planning the study to overseeing participants and…
- Marisha Fonseca
- December 8, 2023