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

Authors

20

  1. AM
    Alexander M. Kulminski

    Duke University, United States

    1 publications · 18 citations

    1

    h-index

  2. FR
    Flávio Rosa de Oliveira

    Universidade Estadual Paulista (Unesp), Brazil

    1 publications · 11 citations

    1

    h-index

  3. CF
    Clarice Ferreira Sabino

    Universidade Estadual Paulista (Unesp), Brazil

    1 publications · 11 citations

    1

    h-index

  4. IA
    Igor Akushevich

    Duke University, United States

    1 publications · 18 citations

    1

    h-index

  5. MG
    Min Gu

    University of Hong Kong, Hong Kong SAR China

    1 publications · 13 citations

    1

    h-index

1–5 of 20

Venues

  1. 1

    h-index

  2. The Oncologist

    1 publications · 12 citations

    1

    h-index

  3. Biogerontology

    1 publications · 18 citations

    1

    h-index

  4. Metals

    1 publications · 11 citations

    1

    h-index

  5. Journal of Wildlife Management

    1 publications · 26 citations

    1

    h-index

1–5