Estimating prevalence of classical homocystinuria in the United States using Optum's de-identified market clarity data

Mahim Jain, Mehul Shah, Kamlesh M. Thakker, Andrew Rava, Agness Pelts Block, Colette Ndiba-Markey, Lionel Pinto

Open source

DOI
10.1016/j.ymgmr.2024.101101
Published
2024-09
Container
Molecular Genetics and Metabolism Reports
Publisher
Elsevier BV
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.ymgmr.2024.101101,
  title = {Estimating prevalence of classical homocystinuria in the United States using Optum's de-identified market clarity data},
  author = {Mahim Jain and Mehul Shah and Kamlesh M. Thakker and Andrew Rava and Agness Pelts Block and Colette Ndiba-Markey and Lionel Pinto},
  year = {2024},
  journal = {Molecular Genetics and Metabolism Reports},
  doi = {10.1016/j.ymgmr.2024.101101},
  url = {https://doi.org/10.1016/j.ymgmr.2024.101101}
}

RIS

TY  - JOUR
TI  - Estimating prevalence of classical homocystinuria in the United States using Optum's de-identified market clarity data
AU  - Mahim Jain
AU  - Mehul Shah
AU  - Kamlesh M. Thakker
AU  - Andrew Rava
AU  - Agness Pelts Block
AU  - Colette Ndiba-Markey
AU  - Lionel Pinto
PY  - 2024
JO  - Molecular Genetics and Metabolism Reports
DO  - 10.1016/j.ymgmr.2024.101101
UR  - https://doi.org/10.1016/j.ymgmr.2024.101101
ER  - 

APA

Jain, M., Shah, M., Thakker, K. M., Rava, A., Block, A. P., Ndiba-Markey, C., & Pinto, L. (2024). Estimating prevalence of classical homocystinuria in the United States using Optum's de-identified market clarity data. Molecular Genetics and Metabolism Reports. https://doi.org/10.1016/j.ymgmr.2024.101101

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