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Statistical Inference on Residual LifeStudy Design Based on Quantile (Residual Life)

Statistical Inference on Residual Life: Study Design Based on Quantile (Residual Life) [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.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Statistical Inference on Residual LifeStudy Design Based on Quantile (Residual Life)

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/lp/springer-journals/statistical-inference-on-residual-life-study-design-based-on-quantile-BeIAMswISV
Publisher
Springer New York
Copyright
© Springer Science+Business Media New York 2014
ISBN
978-1-4939-0004-6
Pages
141 –149
DOI
10.1007/978-1-4939-0005-3_6
Publisher site
See Chapter on Publisher Site

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.]

Published: Dec 14, 2013

Keywords: Residual Life Distribution; Cause-specific Hazard Ratios; Residual Lifetime; Sample Size Formula; Event Type Distribution

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