REVERSE model: a novel approach in medical research.

ABSTRACT:

Background

Randomized controlled trials are considered the gold standard but they are limited by high costs and external validity. The REVERSE model is introduced to address these challenges.

Methods

The REVERSE model encompasses two sequential phases. First, in the data mining phase, compatible datasets are identified and merged by using matching or stricter inclusion/exclusion criteria, thereby reducing selection bias. Second, a randomization phase addresses the inherent biases of the selected datasets. For a dichotomous scenario, the data are organized into four sub-cohorts according to the concordance with the original and new assignments: two concordant and two non-concordant. New decision factors are tested in concordant groups. Patients in non-concordant cohorts were

SUBMITTER: Saba L 

PROVIDER: S-EPMC12275234 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature