Extrapolated doses to cause one excess tumor in a million individuals according to selected models.
| Extrapolation Type | Extrapolated dose (ppb) causing 0.0001 percent incidence1 |
Ratio (Model over LED10) | ||
|---|---|---|---|---|
| Liver | Stomach | Liver | Stomach | |
| Example of an LED10 | 0.1262 | 0.3263 | ||
| Example of an ED10 | 0.1552 | 0.3873 | 1.23 | 1.19 |
| Probit linear in log dose | 186 | 1813 | 1480 | 5560 |
| Logit type model | 1584 | 1205 | 1250 | 364 |
| Ryzin-Rai model | 66 | 460 | 524 | 1390 |
1
0.0001 percent incidence = 0.000001 (proportion) incidence = 1 in one million
2
Example based on data for DBP doses 28.4 and 80 (observed incidence greater than 10%) using logit linear in log dose model. The LED10 was calculated using binomial error (because accounting for overdispersion at DBP dose 28.4 would have shrunk, and therefore penalized, the LED10).
3
Example based on data for DBP doses 80 and 225 (observed incidence greater than 10%) using logit linear in log dose model with binomial error.
4
Logit quadratic in log dose because linear gave poor fit (see results).
5
Logit linear in log dose.