Retraction Note to: Robust Model Selection and Estimation for Censored Survival Data with High Dimensional Genomic Covariates

, , &
Acta Biotheoretica 68 (2):295-295 (2020)
  Copy   BIBTEX

Abstract

The authors have retracted this article [1] because they found a fundamental mistake in the methodology that is not correctable at this time. This mistake is found in the methodology and the derivation of the model with Tukey and Huber’s losses. Because of the error, the findings in the article are not reliable. All authors agree to this retraction.

Categories

Keywords

Reprint years

DOI

10.1007/s10441-020-09377-w

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 91,846

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

My notes

Similar books and articles

Robust Model Selection and Estimation for Censored Survival Data with High Dimensional Genomic Covariates.Guorong Chen, Sijian Wang, Guannan Sun & Huanxue Pan - 2019 - Acta Biotheoretica 67 (3):225-251.
Addition of time‐dependent covariates to a survival model significantly improved predictions for daily risk of hospital death.Jenna Wong, Monica Taljaard, Alan J. Forster, Gabriel J. Escobar & Carl van Walraven - 2013 - Journal of Evaluation in Clinical Practice 19 (2):351-357.
On the identifiability and estimation of functional causal models in the presence of outcome-dependent selection.Kun Zhang, Jiji Zhang, Biwei Huang, Bernhard Schölkopf & Clark Glymour - unknown
Building an ACT‐R Reader for Eye‐Tracking Corpus Data.Jakub Dotlačil - 2018 - Topics in Cognitive Science 10 (1):144-160.
A hierarchical bayesian model for inference of copy number variants and their association to gene expression.A. Cassese, M. Guindani, M. G. Tadesse, F. Falciani & M. Vannucci - unknown
Natural selection through survival alone, and the possibility of Gaia.W. Ford Doolittle - 2014 - Biology and Philosophy 29 (3):415-423.
Bayesian sensitivity models for missing covariates in the analysis of survival data.Karla Hemming & Jane Luise Hutton - 2012 - Journal of Evaluation in Clinical Practice 18 (2):238-246.
Feature selection for clustering on high dimensional data.Hong Zeng & Yiu-Ming Cheung - 2008 - In Tu-Bao Ho & Zhi-Hua Zhou (eds.), Pricai 2008: Trends in Artificial Intelligence. Springer. pp. 913--922.
Genomic research data: open vs. restricted access.David B. Resnik - 2010 - IRB: Ethics & Human Research 32 (1):1.
Robust Optimization for Gate Sizing Considering Non-Gaussian Local Variations.Jin Sun Janet M. Roveda - 2014 - Applied Mathematics 5:2558-2569.
Non-indexical contextualism, relativism and retraction.Alexander Dinges - forthcoming - In Jeremy Wyatt, Dan Zeman & Julia Zakkou (eds.), Perspectives on Taste. London: Routledge.
Exploring the Correlation Between Multiple Latent Variables and Covariates in Hierarchical Data Based on the Multilevel Multidimensional IRT Model.Jiwei Zhang, Jing Lu, Feng Chen & Jian Tao - 2019 - Frontiers in Psychology 10.
Sharing with Strangers: Governance Models for Borderless Genomic Research in a Territorial World.Eric T. Juengst & Eric M. Meslin - 2019 - Kennedy Institute of Ethics Journal 29 (1):67-95.
Perpetuation of Retracted Publications Using the Example of the Scott S. Reuben Case: Incidences, Reasons and Possible Improvements.Helmar Bornemann-Cimenti, Istvan S. Szilagyi & Andreas Sandner-Kiesling - 2016 - Science and Engineering Ethics 22 (4):1063-1072.
Estimation of the Risk Process Based on Moments of Integrated Volatility Using High-frequency Data.Yan Sibo - unknown

Analytics

Added to PP
2020-04-29

Downloads
9 (#1,252,744)

6 months
4 (#787,709)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

Add more references