Commentary: reporting and assessing evidence for interaction: why, when and how? - Test2 - elhamkhani - TriplyDB

Commentary: reporting and assessing evidence for interaction: why, when and how?

Commentary: reporting and assessing evidence for interaction: why, when and how?

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Gene-environment interactions in cancer epidemiology: a National Cancer Institute Think Tank report Deciphering Genome Environment Wide Interactions Using Exposed Subjects Only.

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Commentary: reporting and assessing evidence for interaction: why, when and how?

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Commentary: reporting and assessing evidence for interaction: why, when and how?

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Commentary: reporting and assessing evidence for interaction: why, when and how?

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Commentary: reporting and assessing evidence for interaction: why, when and how?

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International Journal of Epidemiology

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Commentary: reporting and assessing evidence for interaction: why, when and how?

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David Clayton

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Prediction and interaction in complex disease genetics: experience in type 1 diabetes.

Effect modification and the limits of biological inference from epidemiologic data.

Presenting statistical uncertainty in trends and dose-response relations.

Epidemiological methods for studying genes and environmental factors in complex diseases.

Directed acyclic graphs, sufficient causes, and the properties of conditioning on a common effect.

Case-only gene-environment interaction studies: when does association imply mechanistic interaction?

Recommendations for presenting analyses of effect modification and interaction.

Recommendations and proposed guidelines for assessing the cumulative evidence on joint effects of genes and environments on cancer occurrence in humans.

On the relationship of sufficient component cause models with potential outcome (counterfactual) models.

Estimation of excess risk from case-control data using Aalen's linear regression model.

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707-710

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10.1093/IJE/DYS069

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41

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