Optimal Profile Limits for Maternal Mortality Rates (MMR) Influenced by Haemorrhage and Unsafe Abortion in South Sudan

Table 5

The coefficients of the 30 generated models together with their corresponding mean and SE mean of prediction errors.

Model				SE mean	Mean error	%
Model 1	5.4061	−0.00238	0.06257	0.0230	−0.877	91.89
Model 2	5.6403	−0.0221698	0.08886	0.0225	−0.3471	91.91
Model 3	5.4061	−0.0023796	0.012679789	0.0170	−0.415	91.89
Model 4	5.2981	−0.0179986	0.07430974	0.0257	−0.62307	90.31
Model 5	5.3897	−0.0178987	0.06380989	0.0230	−0.77	90.76
Model 6	5.3075	−0.0164988	0.06630879	0.0253	−0.55	91.09
Model 7	5.3075	−0.0164998	0.06130875	0.0253	−0.55	91.09
Model 8	5.6066	−0.0225988	0.09025967	0.0183	−0.57059	88.69
Model 9	5.3075	−0.0164978	0.06937865	0.0253	−0.55	91.09
Model 10	5.3897	−0.0178997	0.07386975	0.0230	−0.7667	90.76
Model 11	5.3908	−0.0181979	0.0749785	0.0229	−0.7667	91.38
Model 12	5.6213	−0.0193998	0.0404975	0.0176	−0.64118	89.48
Model 13	5.2881	−0.0179988	0.0750789	0.0257	−0.62308	90.31
Model 14	5.3897	−0.0178987	0.0738657	0.0230	−0.7667	90.76
Model 15	5.6213	−0.0122990	0.0404095	0.0176	−0.64118	89.48
Model 16	5.2981	−0.0179977	0.07500978	0.0257	−0.62308	90.31
Model 17	5.3897	−0.0178969	0.07490776	0.0230	−0.7667	90.76
Model 18	5.3908	−0.0181979	0.07500997	0.0229	−0.7667	91.38
Model 19	5.2981	−0.0135898	0.05530875	0.0257	−0.62308	90.31
Model 20	5.8944	−0.0121969	0.05030876	0.0217	0.2556	96.89
Model 21	5.8528	−0.0121979	0.04970897	0.0195	−0.03333	96.7
Model 22	5.9706	−0.0121999	0.049708567	0.0257	0.08571	97.95
Model 23	5.9706	−0.0138784	0.05530789	0.0257	0.08571	97.95
Model 24	5.8944	−0.0225972	0.090207658	0.0217	0.2556	96.89
Model 25	5.6066	−0.0121971	0.090205674	0.0183	−0.570588	88.69
Model 26	5.9706	−0.0192897	0.07670786	0.0257	0.08571	97.95
Model 27	5.4061	−0.0121861	0.04470875	0.0225	−0.8769	91.89
Model 28	5.8881	−0.0121977	0.05020786	0.0218	0.2	97.26
Model 29	5.9706	−0.0220981	0.08960798	0.0257	0.0851	97.95
Model 30	5.8528	−0.0279951	0.089609567	0.0195	−0.03333	96.7
Sample mean (μ)	5.567487	−0.0162	0.0662	0.02268	−0.42329	92.68

The final model was based on  = average of (),  = average (), and  = average (), which is given in equation (8).