glrt-package: Generalized logrank tests for interval-censored failure time...

Description Details Author(s) References See Also

Description

Functions to conduct four nonparametric generalized logrank tests and a score test under a proportional hazards model

Details

Package: glrt
Type: Package
Version: 2.0
Date: 2014-12-24
License: GPL-2
LazyLoad: yes

The main function is gLRT, in which a method is selected. Depending on the method specified, one of the five functions (gLRT1, gLRT2, gLRT3, gLRT4, ScoreTest) is called to perform a generalized logrank test or a scor test. Before computing the test statistic in each test, function ModifiedEMICM is called to compute an NPMLE of the common survival function under the null hypothesis that all treatments have the same survival function except for in gLRT4, where ModifiedEMICM is used to estimate the survival function of each treatment group.

Author(s)

Qiang Zhao and Jianguo Sun

Maintainer: Qiang Zhao <qiang.zhao@txstate.edu>

References

Q. Zhao and J. Sun (2004), "Generalized Log-rank Test for Mixed-Censored Failure Time Data", Statistics in Medicine, 23: 1621-1629.

J. Sun, Q. Zhao, and X. Zhao (2005), "Generalized Log-rank Test for Interval-Censored Data", Scandinavian Journal of Statistics, 32: 45-57.

X. Zhao, Q. Zhao, J. Sun, Q. and J. S. Kim (2008), "Generalized Log-rank Tests for Partly Interval-Censored Failure Time Data", Biometrical Journal, 50 (3): 375-385.

X. Zhao, R. Duan, Q. Zhao, and J. Sun (2013), "A New Class of Generalized Log Rank Tests for Interval-censored Failure Time Data", Computational Statistics and Data Analysis. 60: 123-131.

Finkelstein, DM (1986), "A Proportional Hazards Model for Interval-censored Failure Time Data", Biometrics, 42: 845-854.

Q. Zhao (2012), "gLRT - A New R Package for Analyzing Interval-censored Survival Data", Interval-Censored Time-to-Event Data: Methods and Applications, CRC Press, 377-396.

See Also

gLRT, gLRT1, gLRT2, gLRT3, gLRT4, ScoreTest, ModifiedEMICM


glrt documentation built on May 2, 2019, 8:31 a.m.