Conceptual

Bland Altman Plot in Medical Statistics for Blood Glucose Measurement Comparison

The Bland Altman plot is a graphical statistical method designed to assess the agreement between two quantitative measurement methods by plotting their differences against their averages. This approach formalizes the evaluation of systematic bias and proportional errors, distinguishing them from random scatter which indicates consistent variation across magnitudes. Within medical statistics and clinical metrology, it serves as the primary theoretical framework for determining limits of agreement (95% confidence intervals) rather than relying solely on correlation coefficients to validate measurement reliability.