Modeling of the cure fraction in survival studies

Cure models are a special type of survival analysis model where it is assumed that there are a proportion of subjects who will never experience the event and thus the survival curve will eventually reach a plateau. In population-based cancer studies, cure is said to occur when the mortality (hazard) rate in the diseased group of individuals returns to the same level as that expected in the general population. The cure fraction is of interest to patients and a useful measure to monitor trends and differences in survival of curable disease. I will describe the strsmix and strsnmix commands, which t the two main types of cure fraction model, namely, the mixture and nonmixture cure fraction models. These models allow incorporation of the expected background mortality rate and thus enable the modeling of relative survival when cure is a possibility. I give an example to illustrate the commands.


Issue Date:
2007
Publication Type:
Journal Article
DOI and Other Identifiers:
st0131 (Other)
PURL Identifier:
http://purl.umn.edu/119281
Published in:
Stata Journal, Volume 07, Number 3
Page range:
351-375
Total Pages:
25

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 Record created 2017-04-01, last modified 2017-08-26

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