Sixteen frequently used dose-response models are presently available in BBMD, eight for dichotomous data and eight for continuous data.
In the present BBMD system, we provide five options for the power parameter in the corresponding models: [greater than or equal to] 0, [greater than or equal to] 0.
In the present BBMD system, uniform distributions are used for all model parameters, and the lower and upper bounds of these uniform distributions are determined based on biological considerations and preliminary testing.
the uniform distributions employed in the present BBMD system), properly derived informative priors may enhance the reliability of model fitting and BMD estimation.
After a data set and settings are provided, the BBMD system performs regression analysis and provides outputs in the "Model fit results" tab.
The BBMD system uses the posterior samples of model parameters and estimates the posterior predictive p-value as described by Gelman et al.
The model weight approach implemented in BBMD provides numerical model weights for each model, which is advantageous in the context of probabilistic risk assessment to the AIC method because the weights quantitatively compare dose-response models and probabilistically quantify model uncertainty.
The BBMD software provides distributional BMD estimates using multiple definitions and derivations.
The BBMD system calculates both BMDs for each dichotomous dose-response model included in an analysis.
For continuous data, multiple BMD definitions are available in BBMD and are grouped into two categories: a) based on central tendency and b) based on tails [i.
The BBMD software is the first benchmark dose software with a graphical user interface that implements the hybrid approach.
BBMD allows for the calculation of MA BMDs and BMDLs, which have been recommended for use by the European Food Safety Authority (EFSA Scientific Committee et al.