Automating incidence and prevalence analysis in open cohorts.

ABSTRACT:

Motivation

Data is increasingly used for improvement and research in public health, especially administrative data such as that collected in electronic health records. Patients enter and exit these typically open-cohort datasets non-uniformly; this can render simple questions about incidence and prevalence time-consuming and with unnecessary variation between analyses. We therefore developed methods to automate analysis of incidence and prevalence in open cohort datasets, to improve transparency, productivity and reproducibility of analyses.

Implementation

We provide both a code-free set of rules for incidence and prevalence that can be applied to any open cohort, and a python Command Line Interface implementation of these rules requiring python 3.9 or later.

General feat

SUBMITTER: Cockburn N 

PROVIDER: S-EPMC11223317 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature