Abstract:
:It is valuable in many studies to assess both intrarater and interrater agreement. Most measures of intrarater agreement do not adjust for unequal estimates of prevalence between the separate rating occasions for a given rater and measures of interrater agreement typically ignore data from the second set of assessments when raters make duplicate assessments. In the event when both measures are assessed there are instances where interrater agreement is larger than at least one of the corresponding intrarater agreements. This implies that a rater agrees less with him/herself and more with another rater. In the situation of multiple raters making duplicate assessments on all subjects, the authors propose properties for an agreement measure based on the odds ratio for a dichotomous trait: (i) estimate a single prevalence across two reading occasions for each rater; (ii) estimate pairwise interrater agreement from all available data; (iii) bound the pairwise interrater agreement above by the corresponding intrarater agreements. Estimation of odds ratios under these properties is done by maximizing the multinomial likelihood with constraints using generalized log-linear models in combination with a generalization of the Lemke-Dykstra iterative-incremental algorithm. An example from a mammography examination reliability study is used to demonstrate the new method.
journal_name
Stat Medjournal_title
Statistics in medicineauthors
Lester Kirchner H,Lemke JHdoi
10.1002/sim.1138subject
Has Abstractpub_date
2002-06-30 00:00:00pages
1761-72issue
12eissn
0277-6715issn
1097-0258journal_volume
21pub_type
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