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Aug 23,2025
Making Statistical Concepts Accessible – Edition 3: Simple Linear Regression by example
Let’s begin with a Simple Linear Model overview before diving into the practical example: Understanding the relationship between the dosage of a drug (independent variable) and its influence on patients’ health outcomes (dependent variable) Simple…
Aug 23,2025
Making Statistical Concepts Accessible – Edition 4: Discerning Variable Types for Informed Analysis
Understanding the scale of a variable is paramount in determining the appropriate statistical analysis. The type of variable you’re working with dictates the methodologies and tools you should employ. In our third serie of making…
Aug 23,2025
Making Statistical Concepts Accessible – Edition 5: Exploring Correlation and Regression Analysis in Healthcare
In the dynamic world of healthcare research and analysis, correlation and regression analyses stand out as vital tools, offering profound insights into the intricate relationships between variables. While both methods shed light on how changes…
Aug 23,2025
Making Statistical Concepts Accessible – Edition 6: Introduction to Multiple Linear Regression – Advancing Beyond the Simple Linear Model
To grasp the concept of multiple linear regression, it’s essential to first understand the simple linear model, which we covered in our third edition of the “Making Statistical Concepts Accessible” series. You can review it…
Aug 23,2025
Making Statistical Concepts Accessible – Edition 7: Assumptions and Coefficient Estimates in Multiple Linear Regression
In the previous edition of Making Statistical Concepts Accessible, we introduced the Multiple Linear Model, focusing on its goal and conceptual aspects. You can review it via the following link: Making Statistical Concepts Accessible –…
Aug 23,2025
Making Statistical Concepts Accessible – Edition 8: Operationalizing Multiple Linear Regression – From Data to Model Parameter Estimation
Multiple linear regression (MLR) is a foundational statistical method used for both prediction and inference. For a deeper understanding of the structure, goals, and conception of multiple linear regression, refer to the article Making Statistical…
