Quantile regression for overdispersed count data: a hierarchical method

Journal of Statistical Distributions and Applications

Table 9 Leading GP practice outliers, median regression, ambulatory sensitive emergency admissions^a

Practice	y_i	RR (y_i/O_i)	X₁	X₂	X₃	Posterior mean W_i	Adjust-ed boxplot rule	Pairwise comparison exceedance	Exceedance against exponential mean	Standard-ised residual distance measure	Standard-ised log(W_i ^a δ)
1	68	9.40	0.57	0.77	0.80	0.502	1	0.999	1	14.95	5.22
2	94	4.25	0.57	0.97	0.87	0.339	1	0.986	0.9998	9.15	4.31
3	13	0.21	0.35	0.71	0.75	0.333	1	0.985	0.9987	8.94	4.24
4	20	0.23	0.38	0.77	0.91	0.332	1	0.984	1	8.89	4.24
5	31	0.26	0.31	0.82	0.91	0.327	1	0.984	0.9998	8.74	4.22
6	113	3.08	0.35	0.89	0.81	0.291	1	0.973	0.9996	7.58	3.96
7	315	2.33	0.21	0.92	0.92	0.280	1	0.970	0.9996	7.26	3.88
8	12	0.51	0.89	0.90	0.90	0.278	1	0.966	0.989	7.04	3.80
9	17	0.41	0.65	0.81	0.74	0.269	1	0.964	0.989	6.83	3.75
10	52	0.36	0.24	0.78	0.87	0.265	1	0.962	0.996	6.77	3.73
11	24	0.31	0.09	0.70	0.69	0.260	1	0.959	0.986	6.41	3.66
12	34	0.42	0.32	0.51	0.72	0.255	1	0.957	0.990	6.39	3.63
13	19	0.43	0.57	0.87	0.84	0.252	1	0.955	0.976	6.16	3.56
14	25	0.29	0.27	0.82	0.96	0.249	0	0.951	0.983	6.06	3.55
15	46	2.95	0.46	0.53	0.74	0.239	0	0.947	0.977	5.73	3.46
16	14	0.29	0.31	0.90	0.95	0.238	0	0.945	0.968	5.83	3.43
17	27	0.49	0.52	0.73	0.56	0.231	0	0.939	0.975	5.47	3.38
18	11	0.23	0.17	0.88	0.94	0.227	0	0.936	0.945	5.26	3.27
19	85	3.08	0.53	0.92	0.94	0.225	0	0.935	0.978	5.26	3.34
20	26	0.34	0.33	0.94	0.92	0.224	0	0.936	0.970	5.32	3.31