Multiple State Models

Multiple State Model is a stochastic process-based model in life contingencies that generalizes the traditional two-state survival model by allowing for multiple distinct states and transitions between them to represent complex life histories involving events such as disability, retirement, and death.

293

Publications

20K

Citations

723

Authors

370

Institutions

Publications per year

2017–2026

61

Authors

723

  1. KS
    Kumpati S. Narendra

    Yale University, United States

    10 publications · 2.3K citations

    10

    h-index

  2. HP
    Hein Putter

    Leiden University Medical Center, Netherlands

    6 publications · 3.2K citations

    6

    h-index

  3. SH
    Steven Haberman

    City, University of London, United Kingdom

    5 publications · 308 citations

    5

    h-index

  4. WB
    W.D. Blair

    Naval Surface Warfare Center, United States

    4 publications · 112 citations

    4

    h-index

  5. AH
    A. H. Mazinan

    Islamic Azad University South Tehran Branch, Iran

    4 publications · 91 citations

    4

    h-index

1–5 of 723

Venues

  1. 9

    h-index

  2. Statistics in Medicine

    8 publications · 2.9K citations

    8

    h-index

  3. Reliability Engineering & System Safety

    6 publications · 159 citations

    6

    h-index

  4. 6

    h-index

  5. IEEE Transactions on Reliability

    5 publications · 186 citations

    5

    h-index

1–5