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First published 1986-10

The Bayesian Approach to Causality Assessment: An Introduction

David A. Lane

Therapeutic Innovation & Regulatory Science

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First published 1995-1

Computerized Bayesian Evaluation of Adverse Events

Krista L. Lanctôt, Michael C. O. Kwok, Claudio A. Naranjo

Therapeutic Innovation & Regulatory Science

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Other

First published 1992-10

A Consultant's View on the Role of Bayesian Differential Diagnosis in the Safety Assessment of Pharmaceuticals

Claudio A. Naranjo, Krista L. Lanctôt

Therapeutic Innovation & Regulatory Science

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Research article

First published 2010-04

Causal hidden variable model of pathogenic contamination from pig to pork

Jukka Ranta, Kirsi-Maarit Siekkinen, Lasse Nuotio [...]

Statistical Modelling

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Research article

First published 2013-11

Change and safety: decision-making from data

George Bearfield, Anna Holloway, William Marsh

Proceedings of the Institution of Mechanical Engineers,Part F: Journal of Rail and Rapid Transit

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Other

First published 1986-10

A Bayesian Approach to Causality Assessment for Adverse Drug Reactions: Analysis of a Case of Exfoliative Dermatitis

Michael S. Kramer, Tom A. Hutchinson, David A. Lane [...]

Therapeutic Innovation & Regulatory Science

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Other

First published 1986-10

Introduction to Causality Assessment—Who,What and Why? The Manufacturer's Perspective

J. Richard Crout

Therapeutic Innovation & Regulatory Science

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Other

First published 1986-10

A Bayesian Approach to Assessment of Adverse Drug Reactions: Evaluation of a Case of Cholestatic Jaundice

Claudio A. Naranjo

Therapeutic Innovation & Regulatory Science

Open access

Research article

First published 2025-10

Amplifying Insights: How Logarithmic Bayesianism Can Validate Causation in Participatory Policymaking Methods

Rebecca Kerr

International Journal of Qualitative Methods

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Research article

First published 2023-4

Toward a hybrid causal framework for autonomous vehicle safety analysis

Stephen Thomas, Katrina M Groth

Proceedings of the Institution of Mechanical Engineers,Part O: Journal of Risk and Reliability

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