Using sequence and cluster analysis to characterize variables that unfold over time: implementation and practical considerations for epidemiologists.

Pacca L, Dang KV, Koenig L, Duarte CDP, Gaye SA, Harrati A, Vable AM

DOI: 10.1093/aje/kwaf065
Published: 2026 Jun 3
Container: American journal of epidemiology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1093/aje/kwaf065,
  title = {Using sequence and cluster analysis to characterize variables that unfold over time: implementation and practical considerations for epidemiologists.},
  author = {Pacca L and Dang KV and Koenig L and Duarte CDP and Gaye SA and Harrati A and Vable AM},
  year = {2026},
  journal = {American journal of epidemiology},
  doi = {10.1093/aje/kwaf065},
  url = {https://doi.org/10.1093/aje/kwaf065}
}

RIS

TY  - JOUR
TI  - Using sequence and cluster analysis to characterize variables that unfold over time: implementation and practical considerations for epidemiologists.
AU  - Pacca L
AU  - Dang KV
AU  - Koenig L
AU  - Duarte CDP
AU  - Gaye SA
AU  - Harrati A
AU  - Vable AM
PY  - 2026
JO  - American journal of epidemiology
DO  - 10.1093/aje/kwaf065
UR  - https://doi.org/10.1093/aje/kwaf065
ER  -

APA

L, P., KV, D., L, K., CDP, D., SA, G., A, H., & AM, V. (2026). Using sequence and cluster analysis to characterize variables that unfold over time: implementation and practical considerations for epidemiologists.. American journal of epidemiology. https://doi.org/10.1093/aje/kwaf065

Source records

pubmed · retrieved 2026-09-27T07:53:06.167Z