Analysis of additive risk model with high-dimensional covariates using partial least squares-Reference-Cited by-同舟云学术

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Analysis of additive risk model with high-dimensional covariates using partial least squares

Published:2008-09-17 Issue:2 Volume:28 Page:181-193
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Zhao Yichuan,Zhou Yue,Zhao Meng

Funder

Georgia State University

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.3412/fullpdf

Reference20 articles.

1. Partial Cox regression analysis for high-dimension microarray gene expression data;Li;Bioinformatics,2004

2. Linking expression data with patient survival times using partial least squares;Park;Bioinformatics,2002

3. Semi-supervised methods to predict patient survival from gene expression data;Bair;PloS Biology,2004

4. Prediction by supervised principal components;Bair;Journal of the American Statistical Association,2006

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1. Regularized Weighted Nonparametric Likelihood Approach for High-Dimension Sparse Subdistribution Hazards Model for Competing Risk Data;Computational and Mathematical Methods in Medicine;2021-09-19

2. Ranking prognosis markers in cancer genomic studies;Briefings in Bioinformatics;2010-11-18

3. ADDITIVE RISK ANALYSIS OF MICROARRAY GENE EXPRESSION DATA VIA CORRELATION PRINCIPAL COMPONENT REGRESSION;Journal of Bioinformatics and Computational Biology;2010-08

4. Semiparametric prognosis models in genomic studies;Briefings in Bioinformatics;2010-02-01

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