Identifying medication use clusters with the R package tame based on dose, timing and ATC codes.

ABSTRACT: Simplified exposure classifications, such as ever exposed versus never exposed, are commonly used in pharmacoepidemiology. However, this simplification may obscure complex use patterns relevant to researchers. We introduce tame, an R package that offers a novel method for classifying medication use patterns, capturing complexities such as timing, dose, and concurrent medication use in real-world data. The core innovation of tame is its bespoke distance measure, which identifies complex clusters in medication use and is highly adaptable, allowing customization based on the anatomical therapeutic chemical (ATC) Classification System, medication timing, and dose. By prioritizing a robust distance measure, tame ensure accurate and meaningful clustering, enabling researchers to uncover intricat

SUBMITTER: Laksafoss A 

PROVIDER: S-EPMC12612074 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature