Cure Model Censoring

Cure Model Censoring is a type of survival data censoring mechanism in which a subset of the population is considered permanently free from the event of interest, leading to a plateau in the survival curve and requiring specialized models to distinguish between censored individuals who are cured and those who remain at risk.

46

Publications

2.3K

Citations

102

Authors

65

Institutions

Publications per year

2017–2026

15

Variants

Cure Censoring

Authors

102

  1. IV
    Ingrid Van Keilegom

    UCLouvain, Belgium

    4 publications · 219 citations

    4

    h-index

  2. YP
    Yingwei Peng

    Queen's University, Canada

    3 publications · 73 citations

    3

    h-index

  3. AT
    Alexander Tsodikov

    University of Michigan, United States

    2 publications · 178 citations

    2

    h-index

  4. JR
    Josemar Rodrigues

    Universidade Federal de São Carlos, Brazil

    2 publications · 69 citations

    2

    h-index

  5. NB
    N. Balakrishnan

    McMaster University, Canada

    2 publications · 47 citations

    2

    h-index

1–5 of 102

Venues

  1. Statistics in Medicine

    5 publications · 187 citations

    5

    h-index

  2. Biostatistics

    4 publications · 171 citations

    4

    h-index

  3. Biometrics

    3 publications · 870 citations

    3

    h-index

  4. Lifetime Data Analysis

    3 publications · 76 citations

    3

    h-index

  5. Statistics & Probability Letters

    2 publications · 42 citations

    2

    h-index

1–5