Invited Commentary: Sibling-Comparison Designs, Are They Worth the Effort?

Author:

Frisell Thomas

Abstract

Abstract In this issue of the Journal, von Ehrenstein et al. (Am J Epidemiol. 2021;190(5):728–737) add to the large and growing literature on the potentially causal association between prenatal exposure to maternal smoking and neuropsychiatric health. In addition to statewide, prospectively collected data, a particular strength was their ability to perform a sibling-comparison design, contrasting the rate of autism spectrum disorder in siblings discordantly exposed to maternal smoking. Unfortunately, the estimate from the sibling pairs could neither confirm nor refute the conclusions based on the full cohort. Interpretation was hampered by broad confidence limits, and even had power been higher, the authors acknowledge a range of potential biases that would have made it difficult to draw any firm conclusions from a similarity or difference in the sibling-pair estimate and estimate from the full cohort. Was the addition of the sibling comparison actually worth the effort? In this commentary, I will briefly summarize the benefits and limitations of this design, and, with some caveats, argue that its inclusion in the study by von Ehrenstein et al. was indeed a strength and not just an ornamentation.

Funder

Swedish Research Council

Publisher

Oxford University Press (OUP)

Subject

Epidemiology

Reference14 articles.

1. Prenatal exposure to maternal smoking during pregnancy and attention-deficit/hyperactivity disorder in offspring: a meta-analysis;Dong;Reprod Toxicol,2018

2. Maternal prenatal smoking and autism spectrum disorder in offspring: a California statewide cohort and sibling study;Ehrenstein;Am J Epidemiol,2021

3. Separation of individual-level and cluster-level covariate effects in regression analysis of correlated data;Begg;Stat Med,2003

4. Sibling comparison designs: bias from non-shared confounders and measurement error;Frisell;Epidemiology,2012

5. Causal interpretation of between-within models for twin research;Sjölander;Epidemiologic Methods,2012

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