Measurement variability, also known as measurement error, refers to the differences that arise when a variable is measured multiple times under supposedly identical conditions. In epidemiology, this can significantly impact the accuracy and reliability of research findings. Understanding and accounting for measurement variability is crucial for valid study results and subsequent public health recommendations.
