Population Half-life Estimation

Population Half-Life Estimation is a methodological framework within the domain of survival and event-time analysis that specifically quantifies the time required for half of a population to experience a defined event or decay process, distinguishing it from individual-level or conditional half-life estimation approaches by focusing on aggregate population dynamics.

34

Publications

1.7K

Citations

139

Authors

106

Institutions

Publications per year

2017–2026

4

Authors

139

  1. CL
    Claude Lopez

    Milken Institute, United States

    3 publications · 41 citations

    3

    h-index

  2. DH
    David H. Papell

    University of Houston, United States

    3 publications · 41 citations

    3

    h-index

  3. XJ
    X. Joan Hu

    Harvard University, United States

    2 publications · 90 citations

    2

    h-index

  4. KS
    Kazuyuki Suzuki

    National Institute of Advanced Industrial Science and Technology, Japan

    2 publications · 90 citations

    2

    h-index

  5. JF
    Jerald F. Lawless

    University of Waterloo, Canada

    2 publications · 90 citations

    2

    h-index

1–5 of 139

Venues

  1. Technometrics

    2 publications · 90 citations

    2

    h-index

  2. Journal of Applied Econometrics

    2 publications · 98 citations

    2

    h-index

  3. Computational Statistics & Data Analysis

    CSDA · 2 publications · 34 citations

    2

    h-index

  4. Physical Review

    2 publications · 22 citations

    2

    h-index

  5. Weed Science

    1 publications · 42 citations

    1

    h-index

1–5