Generalizability and effect measure modification in sibling comparison studies.
Bias
Causal inference
Effect measure modification
Sibling comparison study
Journal
European journal of epidemiology
ISSN: 1573-7284
Titre abrégé: Eur J Epidemiol
Pays: Netherlands
ID NLM: 8508062
Informations de publication
Date de publication:
May 2022
May 2022
Historique:
received:
27
08
2021
accepted:
16
01
2022
pubmed:
22
3
2022
medline:
23
6
2022
entrez:
21
3
2022
Statut:
ppublish
Résumé
Sibling comparison studies have the attractive feature of being able to control for unmeasured confounding by factors that are shared within families. However, there is sometimes a concern that these studies may have poor generalizability (external validity) due to the implicit restriction to families that are covariate-discordant, i.e., those families where at least two siblings have different levels of at least one of the covariates (exposure or confounders) under investigation. Even if this selection mechanism has been noted by many authors, previous accounts of the problem tend to be brief. The purpose of this paper is to provide a formal discussion of the implicit restriction to covariate-discordant families in sibling comparison studies. We discuss when and how this restriction may impair the generalizability of the study, and we show that a similar generalizability problem may in fact arise even when all families are covariate-discordant, e.g. even if the exposure is continuous so that all siblings have different exposure levels. We show how this problem can be solved by using a so-called marginal between-within model for estimation of marginal exposure effects. Finally, we illustrate the theoretical conclusions with a simulation study.
Identifiants
pubmed: 35312926
doi: 10.1007/s10654-022-00844-x
pii: 10.1007/s10654-022-00844-x
pmc: PMC9209381
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
461-476Subventions
Organisme : Vetenskapsrådet
ID : 2020-01188
Organisme : Vetenskapsrådet
ID : 2016-01355
Informations de copyright
© 2022. The Author(s).
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