Important Notice: Our web hosting provider recently started charging us for additional visits, which was unexpected. In response, we're seeking donations. Depending on the situation, we may explore different monetization options for our Community and Expert Contributors. It's crucial to provide more returns for their expertise and offer more Expert Validated Answers or AI Validated Answers. Learn more about our hosting issue here.

If not, what other model design features are likely to cause different dietary exposure estimates?

0
Posted

If not, what other model design features are likely to cause different dietary exposure estimates?

0

B. In an attempt to further elucidate differences between predicted exposures among the three models (DEEM-Calendex, CARES and LifeLine) , OPP developed SAS approximation models. These SAS approximation models permit the isolation of factors related to the Reference Population, Binning Procedures, Sampling Weights, and individual Body Weights which cannot be isolated by running the individual models. Section IV of the background document, provided to the SAP, describes the development of these SAS approximation models and some analyses performed by the Agency using these SAS approximation models to compare and contrast model design features of DEEM-Calendex, CARES, and LifeLine. Based on these analyses the Agency concluded that the SAS approximation models track actual model results very closely for single Raw Agricultural Commodity (RAC) analyses, and reasonably well for the multi-RAC analyses. Question 1.2 The SAP is asked to please comment on the approach taken by the Agency to deve

What is your question?

*Sadly, we had to bring back ads too. Hopefully more targeted.

Experts123