An improved method for the effect estimation of the intermediate event on the outcome based on the susceptible pre-identification.

ABSTRACT:

Background

In follow-up studies, the occurrence of the intermediate event may influence the risk of the outcome of interest. Existing methods estimate the effect of the intermediate event by including a time-varying covariate in the outcome model. However, the insusceptible fraction to the intermediate event in the study population has not been considered in the literature, leading to effect estimation bias due to the inaccurate dataset.

Methods

In this paper, we propose a new effect estimation method, in which the susceptible subpopulation is identified firstly so that the estimation could be conducted in the right population. Then, the effect is estimated via the extended Cox regression and landmark methods in the identified susceptible subpopulation. For susceptibility id

SUBMITTER: Hu H 

PROVIDER: S-EPMC8454140 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature