Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events-Reference-Cited by-同舟云学术

Analyzing Big EHR Data—Optimal Cox Regression Subsampling Procedure with Rare Events

Published:2023-06-22 Issue:544 Volume:118 Page:2262-2275
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Keret Nir¹^ORCID,Gorfine Malka¹^ORCID

Affiliation:

1. Department of Statistics and Operations Research, Tel Aviv University, Tel Aviv, Israel

Funder

Israel Science Foundation

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2023.2209349

Reference57 articles.

1. OPTIMAL SUBSAMPLING ALGORITHMS FOR BIG DATA REGRESSIONS

2. Boosting for high-dimensional time-to-event data with competing risks

3. Contribution to Discussion of Paper by D.R. Cox;Breslow N. E.;Journal of the Royal Statistical Society, Series B,1972

4. Carstensen B. Plummer M. Laara E. and Hills M. (2022) Epi: A Package for Statistical Analysis in Epidemiology . R package version 2.47.1. https://CRAN.R-project.org/package=Epi

5. Increased incidence of colorectal cancer with obstructive sleep apnea: a nationwide population-based cohort study

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