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stat.ML2026
Flexible Deep Neural Networks for Partially Linear Survival Data: Estimation and Survival Inference
Asaf Ben Arie, Malka Gorfine
We propose a flexible deep neural network (DNN) framework for modeling survival data within a partially linear regression structure. The approach preserves interpretability through…
stat.ML2025
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…
stat.ML2025
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…