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In this Review, Drew Bailey et al. present an accessible, non-technical overview of key challenges for causal inference in studies of human behaviour as well as methodological solutions to these chall...

To prevent statistical misinterpretations, it has long been advised to focus on estimation instead of statistical testing. This sound advice brings with it the need to choose the outcome and effect measures on which to focus. Measures based on odds or their logarithms have often been promoted due to their pleasing statistical properties, but have an undesirable property for risk summarization and communication: Noncollapsibility, defined as a failure of the measure when taken on a group to equal a simple average of the measure when taken on the group's members or subgroups.

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Nominal Coverage for GLM . GitHub Gist: instantly share code, notes, and snippets.