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Improving Study Designs for Quantifying Biological Potency with Genomics Data
Citation:
Setzer, Woodrow. Improving Study Designs for Quantifying Biological Potency with Genomics Data. NTP Review of Guidance for Genomic Dose Response, Durham,NC, October 23 - 25, 2017. https://doi.org/10.23645/epacomptox.6852347
Impact/Purpose:
This presentation is an overview of considerations for setting experimental designs for estimating dose-responses. It was presented at the National Toxicology Program of their workshop reviewiing guidance for evaluating dose-response information for gene expression data.
Description:
As toxicology moved from NOAEL/LOAEL - type approaches to setting points of departure to more nuanced evaluation of dose-response, the best designs for evaluating toxicity have shifted from few doses with lots of replication to many more doses with less replication per dose. Evaluating dose-responses for genomic data requires considering estimating models to cover a wide range of dose-response shapes. Statistical theory provides tools for exploring the consequences different designs. While classical optimal design theory can help inform designs for such experiments, additiional tools are helpful.
URLs/Downloads:
DOI: Improving Study Designs for Quantifying Biological Potency with Genomics Data
NTP_GENOMICSDR_SETZER.PDF (PDF, NA pp, 1341.945 KB, about PDF)