18 citations · 32 across the 6 of their papers we have counts for
6 papers
Convex Mixed-Integer Programming for Causal Additive Models with Optimization and Statistical Guarantees
Xiaozhu Zhang, Nir Keret, Ali Shojaie +1
We study the problem of learning a directed acyclic graph from data generated according to an additive, non-linear structural equation model with Gaussian noise. We express each no…
GLM Inference with AI-Generated Synthetic Data Using Misspecified Linear Regression
Nir Keret, Ali Shojaie
Data privacy concerns have led to the growing interest in synthetic data, which strives to preserve the statistical properties of the original dataset while ensuring privacy by exc…
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…
Unlocking Retrospective Prevalent Information in EHRs -- a Pairwise Pseudolikelihood Approach
Nir Keret, Malka Gorfine
Typically, electronic health record data are not collected towards a specific research question. Instead, they comprise numerous observations recruited at different ages, whose med…
Optimal Cox Regression Subsampling Procedure with Rare Events
Nir Keret, Malka Gorfine
Massive sized survival datasets are becoming increasingly prevalent with the development of the healthcare industry. Such datasets pose computational challenges unprecedented in tr…
Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data
Malka Gorfine, Nir Keret, Asaf Ben Arie +2
The UK Biobank is a large-scale health resource comprising genetic, environmental and medical information on approximately 500,000 volunteer participants in the UK, recruited at ag…