Paper Info
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.
Year
Venue
Keywords
2002
AMIA 2002 SYMPOSIUM, PROCEEDINGS: BIOMEDICAL INFORMATICS: ONE DISCIPLINE
computational biology,gene expression
Field
DocType
ISSN
Bland–Altman plot,Imperfect,Biology,Visualization,Null hypothesis,Correlation,Correlation and dependence,Statistics,Bias (Epidemiology),Calibration
Conference
1531-605X
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Lucila Ohno-Machado11426187.95
Staal Vinterbo236132.66
Stephan Dreiseitl333834.80
Tor-Kristian Jenssen412022.05
Winston Patrick Kuo510017.75