A new permutation-based method for assessing agreement between two observers making replicated quantitative readings.

Abstract:

:The coefficient of individual equivalence is a permutation-based measure of agreement between two observers making replicated readings on each subject. It compares the observed disagreement between the observers to the expected disagreement under individual equivalence. Individual equivalence of observers requires that for every study subject, the conditional distributions of the readings of the observers given the subject's characteristics are identical. Therefore, under individual equivalence it does not matter which observer is making a particular reading on a given subject. We introduce both nonparametric and parametric methods to estimate the coefficient as well as its standard error. We compare the new coefficient with the coefficient of individual agreement and with the concordance correlation coefficient. We also evaluate the performance of the estimates of the new coefficient via simulations and illustrate this new approach using data from a study comparing two noninvasive techniques for measuring carotid stenosis to an invasive gold standard.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Pan Y,Haber M,Gao J,Barnhart HX

doi

10.1002/sim.5323

subject

Has Abstract

pub_date

2012-09-10 00:00:00

pages

2249-61

issue

20

eissn

0277-6715

issn

1097-0258

journal_volume

31

pub_type

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