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.

Submitted: January 10, 2008 · Accepted: January 26, 2008 · Published: February 21, 2008

Recommended Citation

Goeman, Jelle J. (2008) "Autocorrelated Logistic Ridge Regression for Prediction Based on Proteomics Spectra," Statistical Applications in Genetics and Molecular Biology: Vol. 7 : Iss. 2, Article 10.
Available at: http://www.bepress.com/sagmb/vol7/iss2/art10