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stat.ME2024
Improved computational efficiency and stability when imputing censored covariates: Analytic and numerical approaches
Sarah C. Lotspeich, Ethan M. Alt
Imputation is a popular approach to handling censored, missing, and error-prone covariates -- all coarsened data types for which the true values are unknown. However, there are nua…
stat.ME2024
Jointly modeling time-to-event and longitudinal data with individual-specific change points: a case study in modeling tumor burden
Ethan M. Alt, Yixiang Qu, Emily Damone +3
In oncology clinical trials, tumor burden (TB) stands as a crucial longitudinal biomarker, reflecting the toll a tumor takes on a patient's prognosis. With certain treatments, the…