Toxicity profiling of engineered nanomaterials via multivariate dose-response surface modeling

DOI10.1214/12-AOAS563zbMath1257.62109arXiv1301.2435OpenAlexW3104623462WikidataQ34121124 ScholiaQ34121124MaRDI QIDQ1940015

Donatello Telesca, André E. Nel, Trina Patel, Saji George

Publication date: 5 March 2013

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1301.2435

zbMATH Keywords

additive modelshierarchical modelsnanotoxicologydose-response models

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics in engineering and industry; control charts (62P30) Medical applications (general) (92C50)

Related Items (5)

A Bayesian model of dose-response for cancer drug studies ⋮ Relating nano‐particle properties to biological outcomes in exposure escalation experiments ⋮ Toxicity profiling of engineered nanomaterials via multivariate dose-response surface modeling ⋮ Hierarchical rank aggregation with applications to nanotoxicology ⋮ Hierarchical dose–response modeling for high‐throughput toxicity screening of environmental chemicals

Uses Software

• CODA

Cites Work

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