Wild-type cutoff for Apramycin against Escherichia coli

BMC Veterinary Research

Table 1 Optimum non-linear least squares regression fitting of pooled MICs (μg/mL) for apramycin and E.coli

Subset fitted	Number of isolates						Mean MIC (log2)				Standard deviation (log2)
Subset fitted	TRUE	Est.	Diff.	ASE	Est./ASE	95% CIb	Est.	ASE	Est./ASE	95% CIa	Est.	ASE	Est./ASE	95% CIb
≤256	1230	1127	− 103	25.61	44.00625	1066 to 1188	3.3	0.08125	40.5785	3.105 to 3.489	0.85	0.1107	7.66215	0.5863 to 1.110
≤128	1102	1085	−17	8.104	133.8845	1066 to 1105	3.24	0.02282	141.9369	3.183 to 3.295	0.78	0.03112	25.04177	0.7032 to 0.8555
≤64	1084	1075	−9	8.468	126.9485	1054 to 1097	3.23	0.02011	160.4177	3.174 to 3.277	0.76	0.02713	28.16439	0.6944 to 0.8339
≤32b	1059	1063	4	11.9	89.32773	1030 to 1096	3.21	0.02189	146.6423	3.149 to 3.271	0.75	0.02867	26.03767	0.6669 to 0.8260
≤16	901	981	80	7.849	125.0223	956.3 to 1006	3.11	0.009864	315.3893	3.079 to 3.142	0.64	0.01352	47.20414	0.5952 to 0.6812

Est., non linear regression estimate of value; Diff., estimate of N minus true N; ASE, asymptotic standard error; Est./ASE, estimate divided by asymptotic standard error
a 95% CI of estimate of value
b This subset gave the smallest difference between the estimate and true number of isolates in the subset

ISSN: 1746-6148