Some Meaningful Weighted Log-Rank and Weighted Win Loss Statistics

Xiaodong Luo; Hui Quan

doi:10.1007/s12561-020-09273-4

Some Meaningful Weighted Log-Rank and Weighted Win Loss Statistics

Xiaodong Luo, Hui Quan

Research output: Contribution to journal › Article › peer-review

3 Scopus citations

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.

Original language	English
Pages (from-to)	216-224
Number of pages	9
Journal	Statistics in Biosciences
Volume	12
Issue number	2
DOIs	https://doi.org/10.1007/s12561-020-09273-4
State	Published - 1 Jul 2020
Externally published	Yes

Keywords

Hazard difference
RMST difference
Weighted log-rank
Weighted win loss
Φ-Transformed difference

Access to Document

10.1007/s12561-020-09273-4

Cite this

@article{572eea9a264c46d8973bbe9f8448eecf,

title = "Some Meaningful Weighted Log-Rank and Weighted Win Loss Statistics",

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 = "Hazard difference, RMST difference, Weighted log-rank, Weighted win loss, Φ-Transformed difference",

author = "Xiaodong Luo and Hui Quan",

note = "Publisher Copyright: {\textcopyright} 2020, International Chinese Statistical Association.",

year = "2020",

month = jul,

day = "1",

doi = "10.1007/s12561-020-09273-4",

language = "English",

volume = "12",

pages = "216--224",

journal = "Statistics in Biosciences",

issn = "1867-1764",

publisher = "Springer",

number = "2",

}

TY - JOUR

T1 - Some Meaningful Weighted Log-Rank and Weighted Win Loss Statistics

AU - Luo, Xiaodong

AU - Quan, Hui

PY - 2020/7/1

Y1 - 2020/7/1

N2 - 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.

AB - 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.

KW - Hazard difference

KW - RMST difference

KW - Weighted log-rank

KW - Weighted win loss

KW - Φ-Transformed difference

UR - http://www.scopus.com/inward/record.url?scp=85081999396&partnerID=8YFLogxK

U2 - 10.1007/s12561-020-09273-4

DO - 10.1007/s12561-020-09273-4

M3 - Article

AN - SCOPUS:85081999396

SN - 1867-1764

VL - 12

SP - 216

EP - 224

JO - Statistics in Biosciences

JF - Statistics in Biosciences

IS - 2

ER -

Some Meaningful Weighted Log-Rank and Weighted Win Loss Statistics

Abstract

Keywords

Access to Document

Fingerprint

Cite this