Regularized Buckley–James method for right‐censored outcomes with block‐missing multimodal covariates-Reference-Cited by-同舟云学术

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Regularized Buckley–James method for right‐censored outcomes with block‐missing multimodal covariates

Published:2022-12 Issue:1 Volume:11 Page:
ISSN:2049-1573
Container-title:Stat
language:en
Short-container-title:Stat

Author:

Wang Haodong¹,Li Quefeng²,Liu Yufeng¹²³⁴⁵^ORCID

Affiliation:

1. Department of Statistics and Operations Research The University of North Carolina at Chapel Hill Chapel Hill 27599 North Carolina USA

2. Department of Biostatistics The University of North Carolina at Chapel Hill Chapel Hill 27516 North Carolina USA

3. Department of Genetics The University of North Carolina at Chapel Hill Chapel Hill 27599‐7264 North Carolina USA

4. Carolina Center for Genome Sciences The University of North Carolina at Chapel Hill Chapel Hill 27514 North Carolina USA

5. Lineberger Comprehensive Cancer Center The University of North Carolina at Chapel Hill Chapel Hill 27514 North Carolina USA

Funder

National Institute of General Medical Sciences

National Science Foundation

National Institute on Aging

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sta4.515

Reference50 articles.

1. Linear regression with censored data

2. Analysis of Survival Data

3. Predicting Patient Survival from Microarray Data by Accelerated Failure Time Modeling Using Partial Least Squares and LASSO

4. Prediction of Alzheimer's disease in subjects with mild cognitive impairment from the ADNI cohort using patterns of cortical thinning

5. Improved Stein-type shrinkage estimators for the high-dimensional multivariate normal covariance matrix

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