activity
20052026
most citedA consistent multivariate test of association based on ranks of distances

257 citations · 351 across the 27 of their papers we have counts for

collaborators

28 papers

stat.ME2026

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…

stat.ML2025

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

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…

stat.ME2024

Cost-Effectiveness Analysis for Disease Prevention -- A Case Study on Colorectal Cancer Screening

Yi Xiong, Kwun C G Chan, Malka Gorfine +1

Cancer Screening has been widely recognized as an effective strategy for preventing the disease. Despite its effectiveness, determining when to start screening is complicated, beca…

stat.ML2024

Confidence Intervals and Simultaneous Confidence Bands Based on Deep Learning

Asaf Ben Arie, Malka Gorfine

Deep learning models have significantly improved prediction accuracy in various fields, gaining recognition across numerous disciplines. Yet, an aspect of deep learning that remain…

stat.ME2024

Mastering Rare Event Analysis: Optimal Subsample Size in Logistic and Cox Regressions

Tal Agassi, Nir Keret, Malka Gorfine

In the realm of contemporary data analysis, the use of massive datasets has taken on heightened significance, albeit often entailing considerable demands on computational time and…