Simultaneous adjustment of uncontrolled confounding, selection bias and misclassification in multiple-bias modelling.

ABSTRACT:

Background

Adjusting for multiple biases usually involves adjusting for one bias at a time, with careful attention to the order in which these biases are adjusted. A novel, alternative approach to multiple-bias adjustment involves the simultaneous adjustment of all biases via imputation and/or regression weighting. The imputed value or weight corresponds to the probability of the missing data and serves to 'reconstruct' the unbiased data that would be observed based on the provided assumptions of the degree of bias.

Methods

We motivate and describe the steps necessary to implement this method. We also demonstrate the validity of this method through a simulation study with an exposure-outcome relationship that is biased by uncontrolled confounding, exposure misclassification,

SUBMITTER: Brendel P 

PROVIDER: S-EPMC10893963 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature