Abstract
Competing risk of death from other causes before developing the outcome of interest
is a common phenomenon in clinical settings. In a previous article, we developed the
“sandwiching method” as one approach to estimate disease incidence and morbidity time
for populations at a high risk of death from other causes. In addition to its computational
simplicity, the sandwiching method is also relatively assumption free. This article
extends the original sandwiching method to incorporate patient characteristics into
the estimation by using Cox's proportional hazards model. Data from the Johns Hopkins
Hospital AIDS service were used to illustrate this extended method. The importance
of estimates was discussed in the context of planning health care needs.
Keywords
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References
- Statistical models based on counting processes.Springer-Verlag, New York1993
- Using multiple decrement model to estimate risk and morbidity from specific AIDS illnesses.Stat Med. 1996; 15: 2307-2321
- Projecting disease when death is likely.Am J Epidemiol. 1996; 143: 943-952
- Occurrence of cytomegalovirus retinitis after human immunodeficiency virus immunosuppression.Arch Ophthalmol. 1996; 114: 821-827
- Nonparametric estimation from incomplete observations.J Am Stat Assoc. 1958; 53: 457-481
- Nonparametric estimation of partial transition probabilities in multiple decrement models.Ann Stat. 1978; 6: 534-545
- Regression models and life-tables (with discussion).J R Stat Soc B. 1972; 34: 187-220
- The analysis of failure times in the presence of competing risk.Biometrics. 1978; 34: 541-554
- Covariance analysis of censored survival data.Biometrics. 1974; 30: 89-99
- An introduction to the boostrap.Chapman and Hall, London1993
- Incidence and natural history of cytomegalovirus disease in patients with advanced human immunodecifiency virus disease treated with Zidovudine.J Infect Dis. 1992; 166: 1223-1227
- Lessons from the natural history of cytomegalovirus.AIDS. 1996; 10: s37-s41
- The statistical analysis of failure time data.John Wiley & Sons, Inc, New York1980
- Competing risk adjustment reduces overestimation of opportunistic infection in AIDS.J Clin Epidemiol. 2000; 53: 817-822
Article info
Publication history
Accepted:
November 26,
2002
Received in revised form:
September 27,
2002
Received:
March 20,
2002
Identification
Copyright
© 2003 Elsevier Inc. Published by Elsevier Inc. All rights reserved.
