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Causal analysis of Cell Transformation Assays
Last modified: 2017-05-22
Abstract
A Cell Transformation Assay (CTA) is an in-vitro method
to test a chemical for carcinogenicity.
In a recent contribution from an international expert group created Â
to improve the analysis in BALB/c 3T3 CTA data, two
classes of models in the frequentist paradigm were recommended.
Here a Bayesian model for potential outcomes is developed
to estimate the causal effect of some concentrations
of a candidate carcinogen on counts of foci
growing within Petri dishes.
The reanalysis of an actual case study is performed
to illustrate some limitations of current models
and the main features of the proposed approach.
to test a chemical for carcinogenicity.
In a recent contribution from an international expert group created Â
to improve the analysis in BALB/c 3T3 CTA data, two
classes of models in the frequentist paradigm were recommended.
Here a Bayesian model for potential outcomes is developed
to estimate the causal effect of some concentrations
of a candidate carcinogen on counts of foci
growing within Petri dishes.
The reanalysis of an actual case study is performed
to illustrate some limitations of current models
and the main features of the proposed approach.