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yh202109 committed Nov 12, 2024
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Expand Up @@ -104,7 +104,7 @@ Bias Index (BI)
For two raters and two categories (:math:`J=2`), Byrt et al. define Bias Index (BI) as difference of probability of one rating from two raters, which can be estimated as:

.. math::
\hat{BI} = N_{1 \bullet}/n - N_{\bullet 1}/n = \frac{1}{n}(N_{12} - N_{21}).
\hat{BI} = \frac{1}{n}(N_{1 \bullet} - N_{\bullet 1}) = \frac{1}{n}(N_{12} - N_{21}).
:math:`\hat{BI}` has the following properties:

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