Autocorrelated Logistic Ridge Regression for Prediction Based on Proteomics Spectra

Goeman Jelle J
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Goeman Jelle J: Leiden University Medical Center

Statistical Applications in Genetics and Molecular Biology, 2008, vol. 7, issue 2, 12

Abstract: 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.

Date: 2008
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DOI: 10.2202/1544-6115.1344

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