Statistical models are only focus at the estimation of the mean of a certain biomedical outcome. However, within-individual variability estimation (WIVE) can play a role in quantifying disease risk and progression. In longitudinal studies, WIV is related to the deviation from individual mean. Starting from mixed-effects scale-location models (MELSM), we are looking at strategies to dynamically evaluate WIV and include it into the classic statistical modelling for dynamic risk prediction.
WIVE
Image from CF_WIV paper
