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The research aims to enhance the estimation of clinically relevant metrics in family-based analyses through a novel framework.

Moving beyond risk ratios in sibling analysis: estimating clinically useful measures from family-based analysis

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The research aims to enhance the estimation of clinically relevant metrics in family-based analyses through a novel framework.
Applied the marginalized between-within framework to sibling comparison methods
Utilized Swedish registry data to examine maternal smoking and infant mortality
Estimated absolute measures including cumulative risks and attributable fractions
Decomposed effects into within- and between-family components
Showed that absolute measures were more interpretable than relative estimates
Estimated cumulative risks associated with maternal smoking
Provided insights into the policy relevance of findings

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Analysis estimates absolute risks and treatment effects in sibling comparisons, suggesting improved interpretability and relevance in public health.

Ahlqvist et al. (2026) studied this question.

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Analysis estimates absolute risks and treatment effects in sibling comparisons, suggesting improved interpretability and relevance in public health.