4 papers
Structured Hybrid Mechanistic Models for Robust Estimation of Time-Dependent Intervention Outcomes
Tomer Meir, Ori Linial, Danny Eytan +1
Estimating intervention effects in dynamical systems is crucial for outcome optimization. In medicine, such interventions arise in physiological regulation (e.g., cardiovascular sy…
PyDTS: A Python Package for Discrete-Time Survival Analysis with Competing Risks and Optional Penalization
Tomer Meir, Rom Gutman, Malka Gorfine
Time-to-event (survival) analysis models the time until a pre-specified event occurs. When time is measured in discrete units or rounded into intervals, standard continuous-time mo…
Heterogeneous Treatment Effect in Time-to-Event Outcomes: Harnessing Censored Data with Recursively Imputed Trees
Tomer Meir, Uri Shalit, Malka Gorfine
Tailoring treatments to individual needs is a central goal in fields such as medicine. A key step toward this goal is estimating Heterogeneous Treatment Effects (HTE) - the way tre…
Discrete-time Competing-Risks Regression with or without Penalization
Tomer Meir, Malka Gorfine
Many studies employ the analysis of time-to-event data that incorporates competing risks and right censoring. Most methods and software packages are geared towards analyzing data t…