A disattenuated correlation estimate when variables are measured with error: illustration estimating cross-platform correlations

Stat Med. 2008 Mar 30;27(7):1026-39. doi: 10.1002/sim.2984.

Abstract

Previous cross-platform reproducibility studies have compared consistency of intensities as well as consistency of fold changes across different platforms using Pearson's correlation coefficient. In this study, we propose the use of measurement error models for estimating gene-specific correlations. Additionally, gene-specific reliability estimates are shown to be useful in prioritizing clones for sequence verification rather than selecting clones using a simple random sample. The proposed 'disattenuated' correlation may prove useful in a wide variety of studies when both X and Y are measured with error, such as in confirmation studies of microarray gene expression values, wherein more reliable laboratory assays such as real-time polymerase chain reaction are used.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Breast Neoplasms / genetics
  • Calibration*
  • Computer Simulation
  • Databases, Genetic / statistics & numerical data*
  • Female
  • Humans
  • Oligonucleotide Array Sequence Analysis / statistics & numerical data*
  • Ovarian Neoplasms / genetics
  • Regression Analysis*
  • Reproducibility of Results