An empirical comparison of segmented and stochastic linear mixed effects models to estimate rapid disease progression in longitudinal biomarker studies

Published in Statistics in Biopharmaceutical Research, 2021

Recommended citation: Su W, Gecili E, Wang X, Szczesniak RD. (2021). "An empirical comparison of segmented and stochastic linear mixed effects models to estimate rapid disease progression in longitudinal biomarker studies." Statistics in Biopharmaceutical Research. https://doi.org/10.1080/19466315.2020.1870546

Recommended citation: Su W, Gecili E, Wang X, Szczesniak RD. (2021) An empirical comparison of segmented and stochastic linear mixed effects models to estimate rapid disease progression in longitudinal biomarker studies, Statistics in Biopharmaceutical Research, DOI: 10.1080/19466315.2020.1870546