Response Propensity Modeling

Response Propensity Modeling is a statistical modeling approach that specifically estimates the likelihood of an individual responding to a solicitation or intervention within a target population, distinguished from other propensity models by its focus on response behavior rather than treatment assignment or outcome prediction.

38

Publications

2.1K

Citations

90

Authors

55

Institutions

Publications per year

2017–2026

15

Authors

90

  1. RT
    Roger Tourangeau

    University of Michigan, United States

    4 publications · 510 citations

    4

    h-index

  2. BT
    Brady T. West

    University of Michigan, United States

    3 publications · 64 citations

    3

    h-index

  3. IM
    Irini Moustaki

    London School of Economics and Political Science, United Kingdom

    3 publications · 193 citations

    3

    h-index

  4. RJ
    Roderick J. A. Little

    University of Michigan, United States

    2 publications · 184 citations

    2

    h-index

  5. MP
    Mick P. Couper

    University of Michigan, United States

    2 publications · 472 citations

    2

    h-index

1–5 of 90

Venues

  1. Journal of Survey Statistics and Methodology

    5 publications · 72 citations

    5

    h-index

  2. Public Opinion Quarterly

    POQ · 3 publications · 304 citations

    3

    h-index

  3. 3

    h-index

  4. Statistics in Medicine

    2 publications · 180 citations

    2

    h-index

  5. Journal of Studies on Alcohol

    2 publications · 268 citations

    2

    h-index

1–5