|
Model
|
Total number of parameters in the model
|
AIC
|
Goodness of fit test P-value
|
Scaled residual near BMR
|
BMD10 (mg/kg/d)
|
BMD10-HED (mg/kg/d)
|
|---|
|
Gamma-Restricted
|
3
|
73.996
|
0.218
|
−0.25
|
0.0857
|
0.0219
|
|
Gamma
|
3
|
74.198
|
0.594
|
0.01
|
0.0043
|
0.0011
|
|
Logistic
|
2
|
78.734
|
0.009
|
1.19
|
0.2102
|
0.0537
|
|
LogLogistic-Restricted
|
3
|
72.206
|
0.848
|
−0.02
|
0.0495
|
0.0126
|
|
LogLogistic
|
3
|
74.083
|
0.679
|
0.01
|
0.0259
|
0.0066
|
|
LogProbit-Restricted
|
3
|
73.859
|
0.215
|
−0.15
|
0.1235
|
0.0315
|
|
LogProbit
|
3
|
74.093
|
0.671
|
0.01
|
0.0288
|
0.0073
|
|
Multistage-Restricted
|
2
|
73.996
|
0.218
|
−0.25
|
0.0857
|
0.0219
|
|
Multistage
|
2
|
73.915
|
0.969
|
0.00
|
0.0552
|
0.0141
|
|
Multistage-Cancer 1
|
2
|
73.996
|
0.218
|
−0.25
|
0.0857
|
0.0219
|
|
Multistage-Cancer 2
|
3
|
73.996
|
0.218
|
−0.25
|
0.0857
|
0.0219
|
|
Multistage-Cancer 3
|
4
|
73.996
|
0.218
|
−0.25
|
0.0857
|
0.0219
|
|
Probit
|
2
|
79.168
|
0.016
|
1.28
|
0.2378
|
0.0607
|
|
Weibull-Restricted
|
3
|
73.996
|
0.218
|
−0.25
|
0.0857
|
0.0219
|
|
Weibull
|
3
|
73.996
|
0.218
|
−0.25
|
0.0857
|
0.0219
|
|
Quantal-Linear
|
3
|
73.996
|
0.218
|
−0.25
|
0.0857
|
0.0219
|
|
Minimal BMD
|
0.001
|
|
Maximal BMD
|
0.032
|
|
Ratio max/min
|
29
|
|
BMD from best AIC model
|
0.0126
|
|
Geometric mean of acceptable models BMD
|
Not applicable
|
- The benchmark response is 10 %. AIC: Akaïke’s Information Criterion. BMD10: Benchmark dose for 10 % excess risk. Results in bold are acceptable models according to these criteria: total number of parameters does not exceed the number of groups modeled (n = 4); and p-value > 0.1; and scaled residual < │2│ and no computation error or unrealistic graphical BMD10. If ratio max/min is less than 3, then geometric mean of acceptable models is selected, else best AIC model is selected. “na”: not applicable
