Nonparametric Hazard Estimation

Nonparametric Hazard Estimation is a statistical method for estimating the hazard function from survival data without assuming a specific parametric form, relying instead on empirical data patterns to directly approximate the instantaneous risk of an event over time.

89

Publications

4.6K

Citations

162

Authors

107

Institutions

Publications per year

2017–2026

4

Authors

162

  1. MA
    Martin A. Tanner

    University of Rochester, United States

    5 publications · 211 citations

    5

    h-index

  2. JP
    Jens Perch Nielsen

    City, University of London, United Kingdom

    4 publications · 170 citations

    4

    h-index

  3. JP
    Jason P. Fine

    University of North Carolina at Chapel Hill, United States

    4 publications · 175 citations

    4

    h-index

  4. WH
    Wing Hung Wong

    Stanford University, United States

    4 publications · 165 citations

    4

    h-index

  5. PP
    Prakash Patil

    University of Birmingham, United Kingdom

    3 publications · 97 citations

    3

    h-index

1–5 of 162

Venues

  1. Journal of the American Statistical Association

    15 publications · 1.4K citations

    13

    h-index

  2. Biometrics

    9 publications · 555 citations

    9

    h-index

  3. Journal of nonparametric statistics

    5 publications · 133 citations

    5

    h-index

  4. Statistics in Medicine

    4 publications · 143 citations

    4

    h-index

  5. 4

    h-index

1–5