Abstract
The calculation of an expected survival (based on some reference population) for a cohort of patients under study has a long history. These methods are most familiar when the reference population is census based, for example, the overall survival experience of the United States population by age and sex. Recently, these ideas have been rediscovered and applied to the proportional hazards model. In this case the reference population is the result of a fitted Cox model, with the results of the model applied to a new population of subjects. Many of the computational and interpretation issues with the estimates are particularly clear in the case of population data. Therefore, this chapter elaborates on both population- and modelbased techniques.
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© 2000 Springer Science+Business Media New York
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Therneau, T.M., Grambsch, P.M. (2000). Expected Survival. In: Modeling Survival Data: Extending the Cox Model. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4757-3294-8_10
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DOI: https://doi.org/10.1007/978-1-4757-3294-8_10
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4419-3161-0
Online ISBN: 978-1-4757-3294-8
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