Bayesian Baseline Hazard Estimation

Bayesian Baseline Hazard Estimation is a statistical method that belongs to the class of Bayesian survival analysis techniques, distinguished by its incorporation of prior distributions to model and estimate the underlying hazard function nonparametrically or semiparametrically in the absence of covariate effects.

27

Publications

1K

Citations

67

Authors

54

Institutions

Publications per year

2017–2026

2

Authors

67

  1. TF
    Tamara Fernández

    King's College London, United Kingdom

    2 publications · 49 citations

    2

    h-index

  2. DK
    Dipak K. Dey

    University of Connecticut, United States

    2 publications · 134 citations

    2

    h-index

  3. MC
    Ming‐Hui Chen

    University of Connecticut, United States

    2 publications · 102 citations

    2

    h-index

  4. JG
    Joseph G. Ibrahim

    University of North Carolina at Chapel Hill, United States

    2 publications · 102 citations

    2

    h-index

  5. DS
    Debajyoti Sinha

    Florida State University, United States

    2 publications · 105 citations

    2

    h-index

1–5 of 67

Venues

  1. Statistics in Medicine

    4 publications · 79 citations

    4

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  2. Biometrics

    3 publications · 164 citations

    3

    h-index

  3. The Annals of Statistics

    2 publications · 57 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 49 citations

    2

    h-index

  5. Statistical Methods in Medical Research

    2 publications · 38 citations

    2

    h-index

1–5