Biostatistics

A Beginner’s Guide to Building Better Explanatory Regression Models

Introduction Regression is one of the most widely used analytical tools in statistics and data science for understanding relationships between variables and explaining real-world phenomena. In health research, it plays a central role for students, junior researchers, and senior investigators when identifying factors associated with clinical or public-health outcomes. In practice, beginners often struggle with […]

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Procedure for Handling Missing Data in Statistical Analysis

A problem frequently encountered by many researchers and unfortunately not well documented is how to handle missing data within a dataset to ensure optimal analysis. Indeed, after a rigorous process of field data collection, the quality of the dataset is not always guaranteed due to several factors that may not depend on the researcher (faulty

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