are then grouped into one of three categories. (i) The two body parts are cured, recorded as $(1,1)$. The counts of patients with this characteristic from the control and treatment groups are denoted by $m_{20}$ and $m_{21}$. (ii) One of the two body parts is cured while the other remains diseased, recorded as $(1,0)$ or $(0,1)$. However, these $(1,0)$ and $(0,1)$ outcomes are thrown away and this detailed information is no longer available. Only the counts of patients from the control and treatment groups in that category, $m_{10}$ and $m_{11}$ are available. (iii) Neither of the two body parts are cured, denoted by $(0,0)$. The counts of patients in this category from the control and treatment groups are denoted by $m_{00}$ and $m_{01}$. The data, denoted by $D$, can be summarized into a $3\times2$ contingency table (see Table \[tab1sec1\]) where the trinomial counts $(m_{01}, m_{11}, m_{21})$ for the treatment group and $(m_{00}, m_{10}, m_{20})$ for the control group are the cell entries. Such data are very common in ophthalmologic, orthopaedic and otolaryngologic studies. Twin studies are also a familiar source of bilateral data. The goal of such clinical trials is to quantify the benefit of treatment over placebo.

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