Methodological framework to identify possible adverse drug reactions using population-based administrative data

Brian C. Sauer, Jonathan Nebeker, Shuying Shen, Randall Rupper, Suzanne West, Judith A. Shinogle, Wu Xu, Kathleen N. Lohr, Matthew Samore

Open source

DOI: 10.12688/f1000research.4816.1
Published: 2014-10-29
Container: F1000Research
Publisher: F1000 Research Ltd
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.12688/f1000research.4816.1,
  title = {Methodological framework to identify possible adverse drug reactions using population-based administrative data},
  author = {Brian C. Sauer and Jonathan Nebeker and Shuying Shen and Randall Rupper and Suzanne West and Judith A. Shinogle and Wu Xu and Kathleen N. Lohr and Matthew Samore},
  year = {2014},
  journal = {F1000Research},
  doi = {10.12688/f1000research.4816.1},
  url = {https://doi.org/10.12688/f1000research.4816.1}
}

RIS

TY  - JOUR
TI  - Methodological framework to identify possible adverse drug reactions using population-based administrative data
AU  - Brian C. Sauer
AU  - Jonathan Nebeker
AU  - Shuying Shen
AU  - Randall Rupper
AU  - Suzanne West
AU  - Judith A. Shinogle
AU  - Wu Xu
AU  - Kathleen N. Lohr
AU  - Matthew Samore
PY  - 2014
JO  - F1000Research
DO  - 10.12688/f1000research.4816.1
UR  - https://doi.org/10.12688/f1000research.4816.1
ER  -

APA

Sauer, B. C., Nebeker, J., Shen, S., Rupper, R., West, S., Shinogle, J. A., Xu, W., Lohr, K. N., & Samore, M. (2014). Methodological framework to identify possible adverse drug reactions using population-based administrative data. F1000Research. https://doi.org/10.12688/f1000research.4816.1

Source records

crossref · retrieved 2026-09-25T21:42:49.072Z