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. 2022 Feb 15;66(2):e01636-21. doi: 10.1128/aac.01636-21

TABLE 3.

Summary statistics of the population marginal posterior distributionsa

Parameter (unit) Mean value (SD)
Geometric mean %CV Expected value
PK
 ktr (1/h) 2.6 (0.16) 49 (4.7) 2.9 (0.19)
 ka (1/h) 0.9 (0.12) 29 (11) 0.94 (0.13)
 Vc (L) 120 (9.4) 51 (5.9) 140 (11)
 V2c (L) 79 (13) 27 (11) 82 (14)
 V3c (L) 750 (84) 45 (8.5) 820 (96)
 Q2c (L/h) 6.8 (0.98) 26 (11) 7.0 (1)
 Q3c (L/h) 7.3 (0.73) 59 (6.6) 8.5 (0.88)
CLc (L/h) 6.7 (0.31) 30 (4.0) 7.0 (0.33)
PD
 Log10 N0 (CFU/mL) 6.2 (0.001) 14 (1.0) 6.3 (0.001)
 T0 (days) 4.4 (0.15) 27 (2.9) 4.6 (0.16)
 λ (1/h) 0.001 (0.0003) b 0.001 (0.0003)
 Log10 K (CFU/mL) 8.0 (0.34) b 8.0 (0.34)
 τL (h) 23 (1.7) 36 (8.4) 24 (1.9)
 kd (1/h) 0.019 (0.0021) 53 (9.5) 0.022 (0.0025)
 α (1/h) 0.022 (0.0035) 51 (18) 0.025 (0.0043)
 EC50 (mg/L) 1.4 (0.24) 48 (17) 1.6 (0.28)
 H 1.0 (0.092) 31 (12) 1.0 (0.1)
a

The expected value is exp(μ + ω2/2), where exp(μ) is the geometric mean and ω2 = log(CV2 + 1) is the variance with CV (coefficient of variation). The sample size was 10,000.

b

—, not calculated (prior distributions for λ and K).