Statistical analysis and review

This article explains what deductive reasoning is including its definition and examples.

This blog post delves into what sensitivity analysis entails, its applications, advantages, and potential limitations in the context of biomedical research.

Read this blogpost to understand what Bayesian Neural Network is, its advantages, and challenges.

This article sheds light on various tools tailored for biomedical researchers, each equipped with unique features and functionalities.

This blogpost breaks down Sequential Multiple Assignment Randomized Trial (SMART) and explores why it's becoming a game-changer for biomedical researchers.

This blogpost will act like a guide for biomedical researchers by explaining the principle behind propensity score weighting along with its advantages and disadvantages.

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 Bayesian methods employed…

In this blogpost, we’ll take a look at how such analyses can be conducted, with a step-by-step explanation of the process.

Biomedical research often deals with complex phenomena, and missing values can throw a wrench into our data analyses. This blogpost explains Multiple Imputation by Chained Equations (MICE), which…