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

From: Wild-type cutoff for Apramycin against Escherichia coli

Subset fitted Number of isolates Mean MIC (log2) Standard deviation (log2)
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
  1. 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
  2. a 95% CI of estimate of value
  3. b This subset gave the smallest difference between the estimate and true number of isolates in the subset