Open Access
The Effect of Prenatal Treatments on Offspring Events in the Presence of Competing Events
Author(s) -
Yu Han Chiu,
Mats Julius Stensrud,
Issa J Dahabreh,
Paolo Rinaudo,
Michael P. Diamond,
John Hsu,
Sonia Hernández–Dı́az,
Miguel A. Hernán
Publication year - 2020
Publication title -
epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.901
H-Index - 173
eISSN - 1531-5487
pISSN - 1044-3983
DOI - 10.1097/ede.0000000000001222
Subject(s) - event (particle physics) , offspring , fertility , affect (linguistics) , randomized controlled trial , causal inference , medicine , psychology , pregnancy , population , biology , environmental health , genetics , physics , communication , quantum mechanics , pathology
When studying the effect of a prenatal treatment on events in the offspring, failure to produce a live birth is a competing event for events in the offspring. A common approach to handle this competing event is reporting both the treatment-specific probabilities of live births and of the event of interest among live births. However, when the treatment affects the competing event, the latter probability cannot be interpreted as the causal effect among live births. Here we provide guidance for researchers interested in the effects of prenatal treatments on events in the offspring in the presence of the competing event "no live birth." We review the total effect of treatment on a composite event and the total effect of treatment on the event of interest. These causal effects are helpful for decision making but are agnostic about the pathways through which treatment affects the event of interest. Therefore, based on recent work, we also review three causal effects that explicitly consider the pathways through which treatment may affect the event of interest in the presence of competing events: the direct effect of treatment on the event of interest under an intervention to eliminate the competing event, the separable direct and indirect effects of treatment on the event of interest, and the effect of treatment in the principal stratum of those who would have had a live birth irrespective of treatment choice. As an illustrative example, we use a randomized trial of fertility treatments and risk of neonatal complications.