This is the r code for the online application which implements statistical methods for Benchmark dose modeling using Proast (version 61.3) and averaging results from multiple fitted benchmark dose models. It allows estimating the dose that corresponds with the benchmark response of interest. The estimated benchmark dose (BMD) is reported along with its lower and upper bound. When fitting a list of models, the weighted average of the model-specific BMD estimates can be obtained for quantal response type data. The lower and upper bound for the BMD are then estimated using parametric bootstrap sampling

{"references": ["EFSA Scientific Committee, Hardy A, Benford D, Halldorsson T, Jeger MJ,Knutsen KH, Mo re S, Mortensen A, Naegeli H, Noteborn H, Ockleford C, Ricci A, Rychen G, Silano V,Solecki R, Turck D, Aerts M, Bodin L, Davis A, Edler L, Gundert-Remy U, Sand S, Slob W, Bottex B,Abrahantes JC, Marques DC, Kass G and Schlatter JR, 2017. Update: Guidance on the use of thebenchmark dose approach in risk assessment. EFSA Journal 2017;15(1):4658, 41 pp. doi:10.29 03/j.efsa.2017.4658"]}

The tool is implemented in R