Cohort Forecasting

Cohort Forecasting is a methodological approach within cohort analysis that projects future behaviors or outcomes of a defined group of individuals based on their shared temporal or experiential entry point, distinguishing it from general population forecasting by anchoring predictions in cohort-specific longitudinal patterns.

26

Publications

1.2K

Citations

114

Authors

66

Institutions

Publications per year

2017–2026

10

Authors

114

  1. PS
    Philip S. Rosenberg

    National Cancer Institute, United States

    3 publications · 198 citations

    3

    h-index

  2. FD
    Fred D. Reynolds

    University of Georgia, United States

    2 publications · 48 citations

    2

    h-index

  3. JO
    Joseph O. Rentz

    University of Tennessee at Knoxville, United States

    2 publications · 48 citations

    2

    h-index

  4. MM
    Mikko Myrskylä

    Max Planck Institute for Demographic Research, Germany

    2 publications · 150 citations

    2

    h-index

  5. SG
    Sergiu Groppa

    Johannes Gutenberg University Mainz, Germany

    1 publications · 69 citations

    1

    h-index

1–5 of 114

Venues

  1. Journal of Marketing

    JM · 2 publications · 48 citations

    2

    h-index

  2. JNCI Journal of the National Cancer Institute

    1 publications · 144 citations

    1

    h-index

  3. Biometrika

    1 publications · 80 citations

    1

    h-index

  4. Journal of Clinical Nursing

    JCN · 1 publications · 10 citations

    1

    h-index

  5. International Journal of Cancer

    1 publications · 51 citations

    1

    h-index

1–5