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Statistical Applications in Genetics and Molecular Biology

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Volume 7, Issue 2 (Feb 2008)


Autocorrelated Logistic Ridge Regression for Prediction Based on Proteomics Spectra

Jelle J Goeman
  • Leiden University Medical Center
Published Online: 2008-02-21 | DOI: https://doi.org/10.2202/1544-6115.1344

This paper presents autocorrelated logistic ridge regression, an extension of logistic ridge regression for ordered covariates that is based on the assumption that adjacent covariates have similar regression coefficients. The method is applied to the analysis of proteomics mass spectra.

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Published Online: 2008-02-21

Citation Information: Statistical Applications in Genetics and Molecular Biology, ISSN (Online) 1544-6115, DOI: https://doi.org/10.2202/1544-6115.1344. Export Citation

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