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Maximum likelihood estimation of reviewers' acumen in central review setting: categorical data

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Author(s): Zhao Wei | Boyett James | Kocak Mehmet | Ellison David | Wu Yanan

Journal: Theoretical Biology and Medical Modelling
ISSN 1742-4682

Volume: 8;
Issue: 1;
Start page: 3;
Date: 2011;
Original page

ABSTRACT
Abstract Successfully evaluating pathologists' acumen could be very useful in improving the concordance of their calls on histopathologic variables. We are proposing a new method to estimate the reviewers' acumen based on their histopathologic calls. The previously proposed method includes redundant parameters that are not identifiable and results are incorrect. The new method is more parsimonious and through extensive simulation studies, we show that the new method relies less on the initial values and converges to the true parameters. The result of the anesthetist data set by the new method is more convincing.

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