Cell Transformation Assays (CTAs) are in-vitro tests of carcinogenicity where a minimum of 10 Petri dishes are treated with the same dose of a substance and 5 or more doses are considered in the same experiment. The number of fully transformed foci grown on each dish is the outcome collected after 5 weeks from treatment [1]. A Bayesian structural causal model for CTAs is proposed and exploited to estimate mediated effects of a known carcinogen on the outcome. Null estimates of direct effects at several doses suggest that some features of CTAs might be reconsidered.

Bayesian analysis of mediation in Cell Transformation Assays for testing the carcinogenicity of chemicals / F.M. Stefanini - In: Statistics and innovation for industry 4.0 / [a cura di] R. Berni. - [s.l] : Università degli studi di Firenze, 2020. - pp. 36-37 (( convegno Statistics and innovation for industry 4.0 tenutosi a Firenze nel 2020.

Bayesian analysis of mediation in Cell Transformation Assays for testing the carcinogenicity of chemicals

F.M. Stefanini
Primo
2020

Abstract

Cell Transformation Assays (CTAs) are in-vitro tests of carcinogenicity where a minimum of 10 Petri dishes are treated with the same dose of a substance and 5 or more doses are considered in the same experiment. The number of fully transformed foci grown on each dish is the outcome collected after 5 weeks from treatment [1]. A Bayesian structural causal model for CTAs is proposed and exploited to estimate mediated effects of a known carcinogen on the outcome. Null estimates of direct effects at several doses suggest that some features of CTAs might be reconsidered.
Structural Causal Model; CTA
Settore SECS-S/01 - Statistica
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2434/834738
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