Multi-sample Survival Testing
Multi-Sample Survival Testing is a nonparametric statistical method that belongs to the class of survival analysis techniques, distinguished by its purpose of comparing time-to-event distributions across three or more independent groups without assuming parametric forms for the underlying survival functions.
6
Publications
94
Citations
20
Authors
7
Institutions
Publications per year
2017–2026
2
6
RMST‐based multiple contrast tests in general factorial designs
Merle Munko, Marc Ditzhaus, Dennis Dobler et al. · Statistics in Medicine · 2024 · 14 citations · Full text
Monitoring a general class of two-sample survival statistics with applications
Min Gu · Biometrika · 1999 · 13 citations
1–5 of 6
20
1
h-index
1
h-index
1
h-index
1
h-index
1
h-index
1–5 of 20
7

Durham University
Durham, United Kingdom
1 h-index
3 publications
42 citations

Universidade de Taubaté
Taubaté, Brazil
1 h-index
2 publications
22 citations
Center for Child and Family Health
Durham, United States
1 h-index
5 publications
90 citations
Dana-Farber Cancer Institute
Boston, United States
1 h-index
3 publications
36 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
13 citations
Duke University
Durham, United States
1 h-index
6 publications
108 citations
Universidade Estadual Paulista (Unesp)
São Paulo, Brazil
1 h-index
4 publications
44 citations
Leipzig University
Leipzig, Germany
1 publications
14 citations
1–8 of 7
1 publications · 14 citations
1
h-index
1 publications · 12 citations
1
h-index
1 publications · 18 citations
1
h-index
1 publications · 11 citations
1
h-index
1 publications · 26 citations
1
h-index
1–5