Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives.
Publication
, Journal Article
Romano, PS; Roos, LL; Jollis, JG
Published in: J Clin Epidemiol
October 1993
Duke Scholars
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Published In
J Clin Epidemiol
DOI
ISSN
0895-4356
Publication Date
October 1993
Volume
46
Issue
10
Start / End Page
1075 / 1079
Location
United States
Related Subject Headings
- United States
- Surgical Procedures, Operative
- Severity of Illness Index
- Risk Factors
- Proportional Hazards Models
- Prognosis
- Outcome Assessment, Health Care
- Mortality
- Models, Statistical
- Logistic Models
Citation
APA
Chicago
ICMJE
MLA
NLM
Romano, P. S., Roos, L. L., & Jollis, J. G. (1993). Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives. J Clin Epidemiol, 46(10), 1075–1079. https://doi.org/10.1016/0895-4356(93)90103-8
Romano, P. S., L. L. Roos, and J. G. Jollis. “Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives.” J Clin Epidemiol 46, no. 10 (October 1993): 1075–79. https://doi.org/10.1016/0895-4356(93)90103-8.
Romano PS, Roos LL, Jollis JG. Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives. J Clin Epidemiol. 1993 Oct;46(10):1075–9.
Romano, P. S., et al. “Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives.” J Clin Epidemiol, vol. 46, no. 10, Oct. 1993, pp. 1075–79. Pubmed, doi:10.1016/0895-4356(93)90103-8.
Romano PS, Roos LL, Jollis JG. Adapting a clinical comorbidity index for use with ICD-9-CM administrative data: differing perspectives. J Clin Epidemiol. 1993 Oct;46(10):1075–1079.
Published In
J Clin Epidemiol
DOI
ISSN
0895-4356
Publication Date
October 1993
Volume
46
Issue
10
Start / End Page
1075 / 1079
Location
United States
Related Subject Headings
- United States
- Surgical Procedures, Operative
- Severity of Illness Index
- Risk Factors
- Proportional Hazards Models
- Prognosis
- Outcome Assessment, Health Care
- Mortality
- Models, Statistical
- Logistic Models