Bayesian Predictive Survival Inference

Bayesian Predictive Survival Inference is a Bayesian statistical framework for predicting future survival times or survival probabilities by integrating over the posterior distribution of model parameters and accounting for parameter uncertainty in the survival process.

43

Publications

1.8K

Citations

138

Authors

82

Institutions

Publications per year

2017–2026

9

Authors

138

  1. EK
    Essam K. AL-Hussaini

    Assiut University, Egypt

    4 publications · 112 citations

    4

    h-index

  2. NB
    N. Balakrishnan

    McMaster University, Canada

    3 publications · 87 citations

    3

    h-index

  3. WO
    Wesley O. Johnson

    University of California, Davis, United States

    3 publications · 162 citations

    3

    h-index

  4. AR
    A. R. Shafay

    Fayoum University, Egypt

    3 publications · 87 citations

    3

    h-index

  5. EJ
    Edward J. Bedrick

    University of New Mexico, United States

    3 publications · 162 citations

    3

    h-index

1–5 of 138

Venues

  1. 4

    h-index

  2. Asian Pacific Journal of Cancer Prevention

    APJCP · 2 publications · 31 citations

    2

    h-index

  3. Bioinformatics

    2 publications · 53 citations

    2

    h-index

  4. Statistics

    2 publications · 75 citations

    2

    h-index

  5. The American Statistician

    2 publications · 125 citations

    2

    h-index

1–5