title: Comparing imperfect measurements with the Bland-Altman technique: application in gene expression analysis.
abstract: Several problems in medicine and biology involve the comparison of two measurements made on the same set of cases. The problem differs from a calibration problem because no gold standard can be identified. Testing the null hypothesis of no relationship using measures of association is not optimal since the measurements are made on the same cases, and therefore correlation coefficients will tend to be significant. The descriptive Bland-Altman method can be used in exploratory analysis of this problem, allowing the visualization of gross systematic differences between the two sets of measurements. We utilize the method on three sets of matched observations and demonstrate its usefulness in detecting systematic variations between two measurement technologies to assess gene expression.
authors.affiliation: Brigham & Women's Hospital, Decision Systems Group, Boston, MA, USA.
authors.forename: Lucila
authors.initials: L
authors.lastname: Ohno-Machado
authors.forename: Staal
authors.initials: S
authors.lastname: Vinterbo
authors.forename: Stephen
authors.initials: S
authors.lastname: Dreiseitl
authors.forename: Tor-Kristian
authors.initials: TK
authors.lastname: Jenssen
authors.forename: Winston
authors.initials: W
authors.lastname: Kuo
mesh_terms: D015982:Bias; D019295:Computational Biology / Q000379:methods*; D003627:Data Interpretation, Statistical; D015870:Gene Expression; D020411:Oligonucleotide Array Sequence Analysis; D012333:RNA, Messenger
chemical_list: D012333:RNA, Messenger