Instrumental variables estimation of exposure effects on a time-to-event endpoint using structural cumulative survival models.

ABSTRACT: The use of instrumental variables for estimating the effect of an exposure on an outcome is popular in econometrics, and increasingly so in epidemiology. This increasing popularity may be attributed to the natural occurrence of instrumental variables in observational studies that incorporate elements of randomization, either by design or by nature (e.g., random inheritance of genes). Instrumental variables estimation of exposure effects is well established for continuous outcomes and to some extent for binary outcomes. It is, however, largely lacking for time-to-event outcomes because of complications due to censoring and survivorship bias. In this article, we make a novel proposal under a class of structural cumulative survival models which parameterize time-varying effects of a point exp

SUBMITTER: Martinussen T 

PROVIDER: S-EPMC5681451 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature