TABLE 2

Comparisons of Model Performance

OrganModelΔAICc*Akaike weightR2Best-fit parameter value (95% CI)
BloodME54.670.0000.678τ1 = 119 (107–133)
MEC15.100.0000.712w1 = 0.73 (0.68–0.78)τ2 = 55.8 (44.0–69.8)
BE3.480.0760.743w2 = 0.50 (0.42–0.56)τ3 = 29.5 (16.3–41.4)τ4 = 442 (285–817)
SE0.990.2630.743τ5 = 143 (121–171)γ1 = 0.44 (0.34–0.55)
MSE1.250.2310.742τ6 = 6.8 (2.4–14.7)γ2 = 0.23 (0.17–0.30)
SSE0.000.4310.742τ7 = 138 (120–158)
SMSE22.730.0000.715τ8 = 40.5 (36.2–45.1)
KidneysME7.620.0090.963τ1 = 509 (410–652)
MEC0.000.4210.970w1 = 0.79 (0.70–0.91)τ2 = 354 (271–468)
BE2.460.1230.970w2 = 0.72 (0.55–0.83)τ3 = 323 (225–432)τ4 = 6091 (1,366–∞)
SE4.640.0410.963τ5 = 754 (533–1141)γ1 = 0.70 (0.54–0.93)
MSE2.200.1400.966τ6 = 140 (58–313)γ2 = 0.38 (0.26–0.65)
SSE7.860.0080.958τ7 = 1,143 (826–1,615)
SMSE0.990.2560.966τ8 = 210 (172–261)
LiverME16.270.0000.976τ1 = 406 (352–480)
MEC0.000.3860.983w1 = 0.80 (0.73–0.87)τ2 = 289 (243–344)
BE1.410.1910.983w2 = 0.64 (0.53–0.76)τ3 = 227 (163–291)τ4 = 2,844 (1,346– 8,175)
SE3.370.0710.980τ5 = 660 (523–883)γ1 = 0.61 (0.51–0.75)
MSE0.650.2790.982τ6 = 81 (43–140)γ2 = 0.32 (0.25–0.45)
SSE5.020.0310.978τ7 = 821 (673–1,011)
SMSE4.450.0420.981τ8 = 165 (144–190)
Bone marrowME0.000.3630.929τ1 = 1,354 (879–2435)
MEC2.370.1110.929w1 = 0.93 (0.55–1.00)τ2 = 1,205 (477–2,115)
BE5.070.0290.929w2 = 1.00 (0.93–1.00)τ3 = 1,354 (879–2,435)τ4 = ∞ (460–∞)
SE2.390.1100.929τ5 = 1,332 (907–2,511)γ1 = 1.03 (0.64–1.62)
MSE2.410.1090.929τ6 = 1241 (96–4,118)γ2 = 0.94 (0.27–1.61)
SSE7.930.0070.923τ7 = 3,729 (1,737–9,804)
SMSE0.590.2710.929τ8 = 525 (339–888)
LungsME35.490.0000.948τ1 = 202 (61–890)
MEC30.900.0000.953w1 = 0.88 (0.79–0.97)τ2 = 158 (123–196)
BE1.280.2740.987w2 = 0.46 (0.42–0.51)τ3 = 40.8 (0.0–62.2)τ4 = 730 (546–980)
SE2.070.1840.985τ5 = 247 (222–276)γ1 = 0.48 (0.41–0.76)
MSE6.180.0240.983τ6 = 19.4 (10.0–33.8)γ2 = 0.27 (0.22–0.34)
SSE0.000.5180.985τ7 = 244 (220–269)
SMSE20.290.0000.970τ8 = 70.6 (63.9–78.0)
  • * Low ΔAICc and high Akaike weight indicate high support for model from data. R2 is coefficient of determination.

  • Best-supported model.