Identifying type 1 and type 2 diabetic cases using administrative data: a tree-structured model.

Lo-Ciganic W, Zgibor JC, Ruppert K, Arena VC, Stone RA

DOI: 10.1177/193229681100500303
Published: 2011 May 1
Container: Journal of diabetes science and technology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1177/193229681100500303,
  title = {Identifying type 1 and type 2 diabetic cases using administrative data: a tree-structured model.},
  author = {Lo-Ciganic W and Zgibor JC and Ruppert K and Arena VC and Stone RA},
  year = {2011},
  journal = {Journal of diabetes science and technology},
  doi = {10.1177/193229681100500303},
  url = {https://doi.org/10.1177/193229681100500303}
}

RIS

TY  - JOUR
TI  - Identifying type 1 and type 2 diabetic cases using administrative data: a tree-structured model.
AU  - Lo-Ciganic W
AU  - Zgibor JC
AU  - Ruppert K
AU  - Arena VC
AU  - Stone RA
PY  - 2011
JO  - Journal of diabetes science and technology
DO  - 10.1177/193229681100500303
UR  - https://doi.org/10.1177/193229681100500303
ER  -

APA

W, L., JC, Z., K, R., VC, A., & RA, S. (2011). Identifying type 1 and type 2 diabetic cases using administrative data: a tree-structured model.. Journal of diabetes science and technology. https://doi.org/10.1177/193229681100500303

Source records

pubmed · retrieved 2026-09-27T12:04:16.721Z
europe-pmc · retrieved 2026-09-27T12:04:16.736Z