A Bayesian Modeling Approach to Optimize Longitudinal Biomarker Sampling Schedules Using Hormonal Data

Monica H. Keith, Margaret Corley, Delaney J. Glass, Claudia Valeggia, Melanie A. Martin

Open source

DOI: 10.1002/ajhb.70302
Published: 2026-07
Container: American Journal of Human Biology
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/ajhb.70302,
  title = {A Bayesian Modeling Approach to Optimize Longitudinal Biomarker Sampling Schedules Using Hormonal Data},
  author = {Monica H. Keith and Margaret Corley and Delaney J. Glass and Claudia Valeggia and Melanie A. Martin},
  year = {2026},
  journal = {American Journal of Human Biology},
  doi = {10.1002/ajhb.70302},
  url = {https://doi.org/10.1002/ajhb.70302}
}

RIS

TY  - JOUR
TI  - A Bayesian Modeling Approach to Optimize Longitudinal Biomarker Sampling Schedules Using Hormonal Data
AU  - Monica H. Keith
AU  - Margaret Corley
AU  - Delaney J. Glass
AU  - Claudia Valeggia
AU  - Melanie A. Martin
PY  - 2026
JO  - American Journal of Human Biology
DO  - 10.1002/ajhb.70302
UR  - https://doi.org/10.1002/ajhb.70302
ER  -

APA

Keith, M. H., Corley, M., Glass, D. J., Valeggia, C., & Martin, M. A. (2026). A Bayesian Modeling Approach to Optimize Longitudinal Biomarker Sampling Schedules Using Hormonal Data. American Journal of Human Biology. https://doi.org/10.1002/ajhb.70302

Source records

crossref · retrieved 2026-09-26T16:09:47.831Z