Mediation analysis in longitudinal data: an unbiased estimator for cumulative indirect effect

Abstract

Mediation analysis quantifies how an exposure affects an outcome through an intermediate variable. We extend mediation analysis to capture the cumulative effects of longitudinal predictors on longitudinal outcomes. Our proposed model examines how mediators transmit the effects of the current and previous exposure on the current outcome. We construct a least-squared estimator for cumulative indirect effect (CIE) and used three approaches (exact form, delta method, and bootstrap procedure) to estimate its standard error (SE). The estimator of CIE is unbiased with no unmeasured confounding and independent model errors between mediator model and outcome model at all time points, as shown in statistical inference and in simulations. While three SE estimates are numerically similar, bootstrap procedure is recommended due to its simplicity in implementation. We apply this method to Framingham Heart Study offspring cohort to assess if DNA methylation mediates the association of alcohol consumption with systolic blood pressure over two time points. We identify two CpGs (cg05130679 and cg05465916) as mediators and construct a composite DNA methylation score from 11 CpGs, which mediates for 39% of the cumulative effect. In conclusion, we propose an unbiased estimator for CIE. Future studies will investigate the missingness in mediators and outcomes.

Competing Interest Statement

The authors have declared no competing interest.

Funding Statement

YL is supported by R01AA028263, JM, CL are partially supported by R01AA028263. DNA methylation was funded by NHLBI intramural funding (Levy). The Framingham Heart Study is supported by the National Heart, Lung, and Blood Institute (NHLBI), Department of Health and Human Services, under Contract Nos. 75N92019D00031, N01-HC-25195, and HHSN269201500001I.

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Ethics committee/IRB of Framingham Heart Study gave ethical approval for this work.

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Data Availability

All data produced in the present work are contained in the manuscript.

AbbreviationsABPAbsolute bias percentCIConfidence intervalCpGCytosine-phosphate-guanineFHSFramingham Heart StudyRMSERoot mean squared errorSBPSystolic blood pressureSEStandard errorSDStandard deviation

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