On the error of incidence estimation from prevalence data
Ralph Brinks
TL;DR
This paper examines errors in estimating disease incidence from prevalence data, using simulations and proposing methods to obtain error bounds for practical applications.
Contribution
It identifies types of errors in a recent incidence estimation method and introduces a way to calculate error bounds for real-world use.
Findings
Errors in incidence estimation can be significant and are characterized through simulations.
A method for obtaining error bounds in practical scenarios is proposed.
Abstract
This paper describes types of errors arising in a recently proposed method of incidence estimation from prevalence data. The errors are illustrated by a simulation study about a hypothetical irreversible disease. In addition, a way of obtaining error bounds in practical applications of the method is proposed.
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Taxonomy
TopicsAdvanced Causal Inference Techniques · Food Security and Health in Diverse Populations