Welcome to the Dichotomous BMD models section of the on-line benchmark dose software training

Transcript for the Dichotomous Module of the on-line BMD Models Training ndSlide 1. Welcome to the Benchmark Dose models training session. This is the 2 module and focuses on dichotomous models. Slide 2. The purpose of the benchmark dose or (BMD) program is to derive a point of departure for calculating a reference dose or a reference concentration abbreviated RfD and RfC respectively. These values are calculated by dividing the BMDL, which stands for the lower confidence limit on the benchmark dose estimate, or the BMCL which stands for the lower confidence limit on the benchmark concentration estimate by uncertainty factors. For additional background on using the BMD in developing a reference dose or reference concentration, please refer to the BMD Introduction training module. Slide 3. Dichotomous data are quantal data where an effect for an individual may be classified by one of two possibilities. Examples include: dead or alive, present or absent as in tissue pathology or cancer incidence. Slide 4. The first step in BMD modeling is to determine whether or not the data are worth modeling. To do this, evaluate the database as for the NOAEL approach. You need good quality studies that are of the appropriate duration and route of exposure and that measure the endpoints of concern. You should model all potentially adverse endpoints, especially if different uncertainty factors may be used for different endpoints. Slide 5. You also want ...