Literature DB >> 16268938

Benchmark analysis: shopping with proper confidence.

Walter W Piegorsch1, R Webster West.   

Abstract

We discuss the issue of using benchmark doses for quantifying (excess) risk associated with exposure to environmental hazards. The paradigm of low-dose risk estimation in dose-response modeling is used as the primary application scenario. Emphasis is placed on making simultaneous inferences on benchmark doses when data are in the form of proportions, although the concepts translate easily to other forms of outcome data.

Mesh:

Substances:

Year:  2005        PMID: 16268938     DOI: 10.1111/j.1539-6924.2005.00636.x

Source DB:  PubMed          Journal:  Risk Anal        ISSN: 0272-4332            Impact factor:   4.000


  1 in total

1.  Autologistic models for benchmark risk or vulnerability assessment of urban terrorism outcomes.

Authors:  Jingyu Liu; Walter W Piegorsch; A Grant Schissler; Susan L Cutter
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2017-10-10       Impact factor: 2.483

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.