WWR-package {WWR}R Documentation

Weighted Win Loss Statistics and their Variances

Description

Calculate the (weighted) win loss statistics including the win ratio, win difference and win product and their variances, with which the p-values are also calculated. The variance estimation is based on Luo et al. (2015) <doi:10.1111/biom.12225> and Luo et al. (2017) <doi:10.1002/sim.7284>. This package also calculates general win loss statistics with user-specified win loss function with variance estimation based on Bebu and Lachin (2016) <doi:10.1093/biostatistics/kxv032>. This version corrected an error when outputting confidence interval for win difference.

Details

The DESCRIPTION file:

Package: WWR
Type: Package
Version: 1.2.2
Date: 2017-10-24
Title: Weighted Win Loss Statistics and their Variances
Description: Calculate the (weighted) win loss statistics including the win ratio, win difference and win product and their variances, with which the p-values are also calculated. The variance estimation is based on Luo et al. (2015) <doi:10.1111/biom.12225> and Luo et al. (2017) <doi:10.1002/sim.7284>. This package also calculates general win loss statistics with user-specified win loss function with variance estimation based on Bebu and Lachin (2016) <doi:10.1093/biostatistics/kxv032>. This version corrected an error when outputting confidence interval for win difference.
Authors@R: c( person(given="Xiaodong", family="Luo", email = "Xiaodong.Luo@sanofi.com", role =c("aut", "cre")), person(given="Junshan", family="Qiu", role = "ctb"), person(given="Steven", family="Bai", role = "ctb"), person(given="Hong", family="Tian", role = "ctb"), person(given="Mike", family="Mikailov", role = "ctb"), person("Sanofi", role = "cph"))
Depends: R (>= 3.1.2)
Imports: inline, stats
License: GPL (>= 2)
RoxygenNote: 5.0.1
LazyData: true
Author: Xiaodong Luo [aut, cre], Junshan Qiu [ctb], Steven Bai [ctb], Hong Tian [ctb], Mike Mikailov [ctb], Sanofi [cph]
Maintainer: Xiaodong Luo <Xiaodong.Luo@sanofi.com>

Index of help topics:

WWR-package             Weighted Win Loss Statistics and their
                        Variances
genwr                   General Win Loss Statistics
winratio                Win Loss Statistics
wlogr2                  Log-rank statistics
wwratio                 Weighted Win Loss Statistics

Author(s)

NA

Maintainer: NA

References

Pocock S.J., Ariti C.A., Collier T. J. and Wang D. 2012. The win ratio: a new approach to the analysis of composite endpoints in clinical trials based on clinical priorities. European Heart Journal, 33, 176-182.

Luo X., Tian H., Mohanty S. and Tsai W.-Y. 2015. An alternative approach to confidence interval estimation for the win ratio statistic. Biometrics, 71, 139-145.

Bebu I. and Lachin J.M. 2016. Large sample inference for a win ratio analysis of a composite outcome based on prioritized components. Biostatistics, 17, 178-187.

Luo X., Qiu J., Bai S. and Tian H. 2017. Weighted win loss approach for analyzing prioritized outcomes. Statistics in Medicine, <doi: 10.1002/sim.7284>.


[Package WWR version 1.2.2 Index]