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Some Meaningful Weighted Log-Rank and Weighted Win Loss Statistics

Xiaodong Luo () and Hui Quan ()
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Xiaodong Luo: Sanofi US
Hui Quan: Sanofi US

Statistics in Biosciences, 2020, vol. 12, issue 2, No 9, 216-224

Abstract: Abstract Weighted log-rank statistics and recently weighted win loss statistics are often used to test the null hypothesis that the treatment group and the control group have no difference. However, they usually do not provide meaningful treatment effect estimates. This paper studies a few weighted log-rank statistics and weighted win loss statistics that will provide meaningful treatment effect estimates.

Keywords: Weighted log-rank; Weighted win loss; Hazard difference; $${\varPhi }$$ Φ -Transformed difference; RMST difference (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s12561-020-09273-4

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