Measurement errors in epidemiology can be broadly categorized into random errors and systematic errors. Random errors are unpredictable variations that can affect the reliability of measurements, while systematic errors, also known as biases, consistently skew the data in a particular direction. Both types of errors can compromise the validity of epidemiological studies.
