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

From: Susceptibility breakpoint for Danofloxacin against swine Escherichia coli

Subset

Number of isolates

Mean MIC (log2)

Standard deviation (log2)

fitted

TRUE

Est.

Diff.

ASE

Est./ASE

95%CIb

Est.

ASE

Est./ASE

95%CIa

Est.

ASE

Est./ASE

95%CIb

≤128

1233.00

1417.00

184.00

106.60

13.29

1185 to 1650

2.22

0.54

4.12

1.046 to 3.394

4.63

0.42

11.01

3.711 to 5.544

≤64

1118.00

1293.00

175.00

108.50

11.92

1054 to 1532

1.64

0.55

2.95

0.4138 to 2.856

4.27

0.43

9.90

3.324 to 5.224

≤32

1010.00

1174.00

164.00

114.30

10.27

919.5 to 1429

1.07

0.59

1.81

−0.2443 to 2.385

3.93

0.46

8.64

2.918 to 4.947

≤16

916.00

1040.00

124.00

113.90

9.13

782.2 to 1298

0.42

0.60

0.70

−0.9379 to 1.780

3.53

0.47

7.53

2.471 to 4.594

≤8b

756.00

829.80

73.80

63.56

13.06

683.2 to 976.3

−0.63

0.36

−1.75

−1.469 to 0.2008

2.81

0.33

8.54

2.051 to 3.569

≤4

663.00

786.90

123.90

93.92

8.38

564.8 to 1009

−0.85

0.51

−1.68

−2.041 to 0.3476

2.66

0.41

6.43

1.679 to 3.634

≤2

596.00

980.00

384.00

353.30

2.77

115.5 to 1844

−0.01

1.47

−0.01

−3.611 to 3.590

3.12

0.79

3.95

1.184 to 5.052

  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. a95% CI of estimate of value
  3. bThis subset gave the smallest difference between the estimate and true number of isolates in the subset