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
