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ABSTRACT: Background
Traditional mediation analysis typically examines the relations among an intervention, a time-invariant mediator, and a time-invariant outcome variable. Although there may be a total effect of the intervention on the outcome, there is a need to understand the process by which the intervention affects the outcome (i.e., the indirect effect through the mediator). This indirect effect is frequently assumed to be time-invariant. With improvements in data collection technology, it is possible to obtain repeated assessments over time resulting in intensive longitudinal data. This calls for an extension of traditional mediation analysis to incorporate time-varying variables as well as time-varying effects.Methods
We focus on estimation and inference for the time-varying
SUBMITTER: Cai X
PROVIDER: S-EPMC9014585 | biostudies-literature | 2022 Apr
REPOSITORIES: biostudies-literature