Abstract
Statistical design of a time-to-event study is usually based on the log-rank test, which is optimal for the proportional hazards model to test for the hazard ratio. However, it would be more straightforward to design a study to test for a difference in quantile (residual) lifetimes, say to detect a difference in the median residual lifetime due to a drug effect. In this chapter, we consider such design strategies both in the absence and presence of competing risks.
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© 2014 Springer Science+Business Media New York
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Jeong, JH. (2014). Study Design Based on Quantile (Residual Life). In: Statistical Inference on Residual Life. Statistics for Biology and Health. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-0005-3_6
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DOI: https://doi.org/10.1007/978-1-4939-0005-3_6
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4939-0004-6
Online ISBN: 978-1-4939-0005-3
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