Data fitting approach more critical than exposure scenarios and treatment of censored data for quantitative microbial risk assessment

Hugo Ramiro Poma, Arti Kundu, Stefan Wuertz, Verónica Beatriz Rajal*

*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

20 Citations (Scopus)

Fingerprint

Dive into the research topics of 'Data fitting approach more critical than exposure scenarios and treatment of censored data for quantitative microbial risk assessment'. Together they form a unique fingerprint.

Keyphrases

Mathematics

Food Science

Agricultural and Biological Sciences

Chemical Engineering

Immunology and Microbiology