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To overcome this limitation, several alternative methods for agreement have been investigated [ 5- 8].
Unlike other methods for agreement assessment (such as Bland-Altman limits of agreement [ 39]), reduced major axis regression allows disagreement to be separated into fixed and proportional components.
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Furthermore the Bland-Altman method for agreement analysis was performed [ 12]; in this graphical method the differences between two measures or techniques are plotted against the averages of the two techniques.
Yet there is another possibility that can be extrapolated from Rorty's writings: serious people care not only about producing agreement but also about justifying their methods for producing agreement.
We use the breast cancer tumour data to demonstrate and compare two methods for analysing agreement data with a large number of raters and an onymous varying panel design.
There are many appropriate non-Bayesian methods for assessing agreement [ 3], however no Bayesian methods have yet been advocated or utilised.
Two other small trials investigated the effect of melatonin on nocturnal sleep in critically ill patients [ 11, 31], but comparison is limited due to the use of different sleep measurement methods, for which agreement is rather poor [ 21].
We note that the MDC95 provides the same limits of agreement (LOA) as the Bland and Altman method for assessing agreement [ 8].
Bland-Altman proposed an alternative method for studying agreement between methods using simple graphs and basic statistics.
Svensson's method for analyzing agreement in paired ordinal data was used to study test-retest reliability (hypothesis: no change in the dialysis group) and responsiveness (hypothesis: a positive change, improvement, in the cardiac rehabilitation group).
The data was scored using both scoring methods and compared to each other using Pearson's correlation and the Bland-Altman method for assessing agreement between two measures [7].
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