Collider and reporting biases involved in the analyses of cause of death associations in death certificates: an illustration with cancer and suicide.

ABSTRACT:

Background

Mortality data obtained from death certificates have been studied to explore causal associations between diseases. However, these analyses are subject to collider and reporting biases (selection and information biases, respectively). We aimed to assess to what extent associations of causes of death estimated from individual mortality data can be extrapolated as associations of disease states in the general population.

Methods

We used a multistate model to generate populations of individuals and simulate their health states up to death from national health statistics and artificially replicate collider bias. Associations between health states can then be estimated from such simulated deaths by logistic regression and the magnitude of collider bias assessed. Reporti

SUBMITTER: Laanani M 

PROVIDER: S-EPMC10722743 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature