Nir Keret
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View article: Mastering rare event analysis: subsample-size determination in Cox and logistic regressions
Mastering rare event analysis: subsample-size determination in Cox and logistic regressions Open
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 memory. While a multitude of existing works offer optimal s…
View article: GLM Inference with AI-Generated Synthetic Data Using Misspecified Linear Regression
GLM Inference with AI-Generated Synthetic Data Using Misspecified Linear Regression Open
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 excluding real records. Recent advances in deep neural network…
View article: Mastering Rare Event Analysis: Optimal Subsample Size in Logistic and Cox Regressions
Mastering Rare Event Analysis: Optimal Subsample Size in Logistic and Cox Regressions Open
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 memory. While a multitude of existing works offer optimal s…
View article: Unlocking Retrospective Prevalent Information in EHRs -- a Pairwise Pseudolikelihood Approach
Unlocking Retrospective Prevalent Information in EHRs -- a Pairwise Pseudolikelihood Approach Open
Typically, electronic health record data are not collected towards a specific research question. Instead, they comprise numerous observations recruited at different ages, whose medical, environmental and oftentimes also genetic data are be…
View article: Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events
Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events Open
Massive sized survival datasets become increasingly prevalent with the development of the healthcare industry, and pose computational challenges unprecedented in traditional survival analysis use cases. In this work we analyze the UK-bioba…
View article: Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events
Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events Open
Massive sized survival datasets become increasingly prevalent with the development of the healthcare industry, and pose computational challenges unprecedented in traditional survival analysis use cases. In this work we analyze the UK-bioba…
View article: Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events
Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events Open
Massive sized survival datasets become increasingly prevalent with the development of the healthcare industry, and pose computational challenges unprecedented in traditional survival analysis use cases. In this work we analyze the UK-bioba…
View article: COVID-19 mRNA Vaccination: Age and Immune Status and Its Association with Axillary Lymph Node PET/CT Uptake
COVID-19 mRNA Vaccination: Age and Immune Status and Its Association with Axillary Lymph Node PET/CT Uptake Open
With hundreds of millions of coronavirus disease 2019 (COVID-19) messenger RNA (mRNA)-based vaccine doses planned to be delivered worldwide in the upcoming months, it is important to recognize PET/CT findings in recently vaccinated immunoc…
View article: Optimal Cox Regression Subsampling Procedure with Rare Events
Optimal Cox Regression Subsampling Procedure with Rare Events Open
Massive sized survival datasets are becoming increasingly prevalent with the development of the healthcare industry. Such datasets pose computational challenges unprecedented in traditional survival analysis use-cases. A popular way for co…
View article: Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data
Marginalized Frailty-Based Illness-Death Model: Application to the UK-Biobank Survival Data Open
The UK Biobank is a large-scale health resource comprising genetic, environmental, and medical information on approximately 500,000 volunteer participants in the United Kingdom, recruited at ages 40–69 during the years 2006–2010. The proje…
View article: Heritability Estimation using a Regularized Regression Approach (HERRA): Applicable to continuous, dichotomous or age-at-onset outcome
Heritability Estimation using a Regularized Regression Approach (HERRA): Applicable to continuous, dichotomous or age-at-onset outcome Open
The popular Genome-wide Complex Trait Analysis (GCTA) software uses the random-effects models for estimating the narrow-sense heritability based on GWAS data of unrelated individuals without knowing and identifying the causal loci. Many me…