Bivariate two-sample tests in survival analysis

Dnr:

SNIC 2017/7-83

Type:

SNAC Small

Principal Investigator:

Inger Persson

Affiliation:

Uppsala universitet

Start Date:

2017-05-12

End Date:

2018-06-01

Primary Classification:

10106: Sannolikhetsteori och statistik

Webpage:

Allocation

Abstract

Simulations regarding the size and power of two-sample tests for bivariate survival data are performed. The multivariate generalization of the logrank test, the multivariate Gehan test, Hotelling's T2, the nonparametric Puri-Sen test, and permutation tests based on the multivariate Logrank and Gehan tests are investigated under different degrees of censoring and different types of hazards (increasing, decreasing, constant).