Table 4 . BMD Model Estimates.
| BMD | BMDL | X2 GOF P-Value | AIC | MA WeightsA | AIC A | |
|---|---|---|---|---|---|---|
| Probit | 21.2 | 16.4 | 0.77 | 68.21 | 0.44 | 68.21 |
| Multistage | 21.9 | 12.1 | 0.76 | 68.49 | 0.14 | 70.49 |
| Weibull | 26.4 | 14.1 | 0.56 | 70.13 | 0.17 | 70.13 |
| Gamma | 25.4 | 13.5 | 0.48 | 70.72 | 0.13 | 70.72 |
| Log Probit | 25.4 | 14.3 | 0.40 | 71.31 | 0.09 | 71.31 |
| Quantal Linear | 10.9 | 7.2 | 0.19 | 73.54 | 0.03 | 73.54 |
| MA Average Dose | 22.8 | 14.5 | NA | NA | NA | NA |
| MA Average Model | 23.0 | 12.3 | 0.50 | NA | NA | NA |
| Semiparametric | 18.6 | 9.2 | NA | NA | NA | NA |
Computed benchmark doses across various estimation methodologies where the BMR = 10%, This is done using seven models available in the EPA BMDS model suite for dichotomous data described in Table II as well as the semiparametric method of Wheeler and Bailer.( 30 ) A The weights are computed using the AIC calculation method of Wheeler and Bailer( 27 ) and not the BMDS software.