Monte Carlo Risk Assessment
Stochastic modelling of chemical intake from food
On this website you find the web version of MCRA, the program for Monte Carlo Risk Assessment, developed in collaboration between RIKILT and Biometris in the context of the Dutch Programme for the Quality of Agricultural Products (KAP).
Since 2005 RIKILT and RIVM merged their activities regarding probabilistic modelling in MCRA-STEM.
In a Monte Carlo dietary risk assessment the risk of exposure to pesticides or other chemicals from the diet is quantified by combining database information on food consumption with database information from monitoring programs for residues of chemicals in food.
MCRA is intended for users who want to analyze their own consumption and chemical concentration data. MCRA provides the following options
- acute (short-term) risk assessment
- chronic (long-term) risk assessment
- empirical or parametric modelling of residue levels
- modelling of processing effects, unit variability and nondetects levels
- bootstrapping to assess the uncertainty of percentiles
- comparison with deterministic point estimates (IESTI)
For more information on Release 3 see the User manual or Reference20Guide20MCRA_3.pdf
For more information on Release 4 see the Manual.pdf
For questions please contact:
Jacob van Klaveren (RIKILT/KAP, residue and food consumption data sets, applications), or
Hilko van der Voet (Biometris, statistical methods, program development)
If you are interested in using MCRA please fill in the registration form. NOTE: currently access is limited to participants in a pilot study.
Registered users may here login to MCRA