Abstract
There is increasing interest, and need, to apply survival analysis to data sets with multiple events per subject. This includes both the cases of multiple events of the same type, and events of different types. Examples of the former would be recurrent infections in AIDS patients or multiple infarcts in a coronary study. Examples of the latter are the use of both survival and recurrence information in cancer trials, or multiple sequelae (toxicity, worsening symptoms, etc.) in the management of chronic disease. With the increasing emphasis on quality of life, rehospitalization, and other secondary endpoints such analyses will become more common.
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© 2000 Springer Science+Business Media New York
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Therneau, T.M., Grambsch, P.M. (2000). Multiple Events per Subject. 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_8
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DOI: https://doi.org/10.1007/978-1-4757-3294-8_8
Publisher Name: Springer, New York, NY
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