Table 1.

Posterior probability $\mathrm{P}(p_{\text{ped}}>p_0|\text{Data})$ without borrowing and with different borrowing methods for the relevant range of $r_{\text{ped}}$ values. For the power prior, for the robust mixture prior approach and for the hierarchical model, external information was $d_0=\{12;40\}$. For extreme borrowing, external information was $d_0^{\prime }=\{30;100\}$

$r_{\text{ped}}$	9	10	11	12	13	14	15	16
Without borrowing	0.6657	0.7898	0.8799	0.9377	0.9707	0.9875	0.9951	0.9983
Fixed power parameter, $\delta =.5$	0.8344	0.8987	0.9421	0.9690	0.9845	0.9928	0.9968	0.9987
EB power parameter	0.9156	0.9490	0.9708	0.9841	0.9918	0.9960	0.9981	0.9992
Robust mixture prior, $w=0.5$	0.8678	0.9225	0.9568	0.9772	0.9886	0.9946	0.9976	0.9990
Hierarchical model	0.7748	0.8624	0.9225	0.9585	0.9795	0.9910	0.9961	0.9986
Extreme borrowing	0.6657	0.7898	0.8799	0.9977	0.9707	0.9875	0.9951	0.9983