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Cox Regression Analysis in Clinical Research
Daniel G. Seigel, ScD
Arch Ophthalmol. 1990;108(6):888-889.
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| Since this article does not have an abstract, we have provided the first 150 words of the full text PDF and any section headings. |
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The Cox survivorship model1 has been used widely in medical research and recently in the ophthalmic literature to analyze prognosis following alternative treatments of uveal melanoma.2-5 The purpose of this short communication is to explain what Cox regression analysis is, so that investigators will understand its role in clinical research.
The Cox model is a particular type of survivorship model. More generally, survivorship models are used to describe and interpret the rate at which deaths occur over time in some population. The clinical investigator may use these models to interpret the rate at which morbid events occur as well, such as loss of vision, progression of retinopathy, and marked increase in intraocular pressure. When investigators are interested in determining how a variety of factors affect the rate at which events occur (eg, treatment, characteristics of the disease, or of the patient), they may wish to use the Cox
. . . [Full Text PDF of this Article]
Author Affiliations
From the National Eye Institute, Biometry and Epidemiology Program, National Institutes of Health, Bethesda, Md.
Footnotes
Accepted for publication February 22, 1990.
Reprint requests to National Eye Institute, Biometry and Epidemiology Program, National Institutes of Health, Bldg 31, Room 6A10, Bethesda, MD 20892 (Dr Seigel).
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