A Bayesian multivariate approach to estimating the prevalence of a superordinate category of disorders.

ABSTRACT:

Objective

Epidemiological research plays an important role in public health, facilitated by the meta-analytic aggregation of epidemiological trials into a single, more powerful estimate. This form of aggregation is complicated when estimating the prevalence of a superordinate category of disorders (e.g., "any anxiety disorder," "any cardiac disorder") because epidemiological studies rarely include all of the disorders selected to define the superordinate category. In this paper, we suggest that estimating the prevalence of a superordinate category based on studies with differing operationalization of that category (in the form of different disorders measured) is both common and ill-advised. Our objective is to provide a better approach.

Methods

We propose a multivariate meth

SUBMITTER: Fawcett JM 

PROVIDER: S-EPMC6383646 | biostudies-literature | 2018 Dec

REPOSITORIES: biostudies-literature