Cohen's Kappa Statistic/Examples/Medical Diagnosis

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Example of Use of Cohen's Kappa Statistic

Let there be $80$ patients claiming to suffer from depression

Let there be $2$ doctors who are to assess whether or not it is appropriate to treat each patient with a particular antidepressant drug.


In $32$ cases, both agree that treatment is appropriate.

In $35$ cases, both agree that treatment is not appropriate.

In the remaining $13$ cases, they disagree: one doctor believes treatment is appropriate, while the other does not.


Then Cohen's kappa statistic $\kappa$ is evaluated to be:

$\kappa = 0 \cdotp 675$


Proof

Here we have:

\(\ds N\) \(=\) \(\ds 80\)
\(\ds n\) \(=\) \(\ds 32 + 35 = 67\)
\(\ds \leadsto \ \ \) \(\ds p_{\mathrm {obs} }\) \(=\) \(\ds \dfrac n N = 0 \cdotp 8375\)
\(\ds p_{\mathrm {exp} }\) \(=\) \(\ds \dfrac {40} {80} = 0 \cdotp 5\)
\(\ds \leadsto \ \ \) \(\ds \kappa\) \(=\) \(\ds \dfrac {p_{\mathrm {obs} } - p_{\mathrm {exp} } } {1 - p_{\mathrm {exp} } }\)
\(\ds \) \(=\) \(\ds \dfrac {0 \cdotp 8375 - 0 \cdotp 5} {1 - 0 \cdotp 5}\)
\(\ds \) \(=\) \(\ds 0 \cdotp 675\)

$\blacksquare$


Sources