5 papers
Efficient Cumulative Incidence Estimation in Biobank Studies Using All Prevalent and Incident Events
David M. Zucker, Malka Gorfine
Population-based biobanks, now established in many countries, offer opportunities for large-scale studies investigating the incidence of various diseases. Biobank data is typically…
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…
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…