EMLasso: logistic lasso with missing data-Reference-Cited by-同舟云学术

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EMLasso: logistic lasso with missing data

Published:2013-02-25 Issue:18 Volume:32 Page:3143-3157
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Sabbe N.¹,Thas O.¹²,Ottoy J-P.¹

Affiliation:

1. Department of Mathematical Modelling, Statistics and Bioinformatics; Ghent University; Coupure Links 653a Ghent Belgium

2. Centre for Statistical and Survey Methodology, School of Mathematics and Applied Statistics; University of Wollongong; NSW 2522 Australia

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/sim.5760/fullpdf

Reference25 articles.

1. Development of a multicomponent prediction model for acute esophagitis in lung cancer patients receiving chemoradiotherapy;De Ruyck;International Journal of Radiation Oncology, Biology, Physics,2011

2. A logistic regression model for predicting axillary lymph node metastases in early breast carcinoma patients;Xie;Sensors,2012

3. MicroRNA-related genetic variations as predictors for risk of second primary tumor and/or recurrence in patients with early-stage head and neck cancer;Zhang;Carcinogenesis,2010

4. DNA methylation patterns in blood of patients with colorectal cancer and adenomatous colorectal polyps;Cassinotti;International Journal of Cancer,2012

5. Statistical Analysis with Missing Data

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3. Integrated logistic ridge regression and random forest for phenotype-genotype association analysis in categorical genomic data containing non-ignorable missing values;Applied Mathematical Modelling;2023-11

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