JSM 2004 Online Program

Abstract #300868

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Activity Number:	385
Type:	Contributed
Date/Time:	Wednesday, August 11, 2004 : 2:00 PM to 3:50 PM
Sponsor:	Biometrics Section
Abstract - #300868
Title:	Frequency of Use of Statistical Techniques for Assessing Agreement between Continuous Measurements
Author(s):	Stephen W. Looney*+ and Joseph L. Hagan
Companies:	Louisiana State University and University of Louisville
Address:	Health Sciences Center, School of Public Health, New Orleans, LA, 70112,
Keywords:	inter-rater reliability ; validity ; intra-class correlation ; Pearson correlation ; Bland-Altman method
Abstract:	This study examined the frequency of use of statistical techniques that have been proposed for assessing agreement between continuous measurements. A survey of clinical research articles published in 2001 yielded a total of 189 method comparison studies. The most commonly used statistical technique for measuring agreement in these studies was the intraclass correlation coefficient (ICC) (118 studies, 62.4%), followed by the Pearson correlation coefficient (PCC) (53 studies, 28.0%), and the Bland-Altman method (25 studies, 13.2%). These results indicate that the PCC is still commonly used for method comparisons, despite the fact that it has been known to be inappropriate for this purpose for over 30 years. The most commonly used method, the ICC, is also known to have shortcomings as a measure of agreement, and has only limited applicability in method comparison studies. Given the current state of the clinical literature with regard to statistical analyses that are used in method comparison studies, statisticians should be more proactive in promoting the use of appropriate statistical techniques for assessing agreement between continuous measurements.

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