A New Stochastic Kriging Method for Modeling Multi-Source Exposure-Response Data in Toxicology Studies.

ABSTRACT: One of the most fundamental steps in risk assessment is to quantify the exposure-response relationship for the material/chemical of interest. This work develops a new statistical method, referred to as SKQ (stochastic kriging with qualitative factors), to synergistically model exposure-response data, which often arise from multiple sources (e.g., laboratories, animal providers, and shapes of nanomaterials) in toxicology studies. Compared to the existing methods, SKQ has several distinct features. First, SKQ integrates data across multiple sources and allows for the derivation of more accurate information from limited data. Second, SKQ is highly flexible and able to model practically any continuous response surfaces (e.g., dose-time-response surface). Third, SKQ is able to accommodate varia

SUBMITTER: Wang K 

PROVIDER: S-EPMC4105196 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature