Log-linear Survival Models

Log-Linear Survival Models is a class of parametric survival models that assumes the logarithm of the survival time is linearly related to the covariates, allowing for the direct interpretation of covariate effects on the time scale.

117

Publications

7.8K

Citations

271

Authors

159

Institutions

Publications per year

2017–2026

17

Authors

271

  1. JW
    John W. Gamel

    University of Louisville, United States

    3 publications · 175 citations

    3

    h-index

  2. JR
    James R. Rieck

    Clemson University, United States

    2 publications · 291 citations

    2

    h-index

  3. DM
    David M. Purdie

    QIMR Berghofer Medical Research Institute, Australia

    2 publications · 74 citations

    2

    h-index

  4. KL
    Kirby L. Jackson

    University of South Carolina, United States

    2 publications · 72 citations

    2

    h-index

  5. MS
    Mark Schluchter

    Case Western Reserve University, United States

    2 publications · 72 citations

    2

    h-index

1–5 of 271

Venues

  1. Biometrics

    10 publications · 1.1K citations

    10

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  2. Statistics in Medicine

    8 publications · 570 citations

    8

    h-index

  3. Journal of the American Statistical Association

    5 publications · 1.5K citations

    5

    h-index

  4. 5

    h-index

  5. Biometrika

    5 publications · 140 citations

    5

    h-index

1–5