Two-stage Randomization

Two-Stage Randomization is a causal inference design in which clusters or units are first randomized to treatment or control conditions, followed by a second randomization of individuals within treated clusters to varying levels or forms of intervention, thereby enabling the estimation of direct and spillover effects while accounting for interference.

28

Publications

1.5K

Citations

73

Authors

49

Institutions

Publications per year

2017–2026

8

Variants

Two-stage Randomized Design

Authors

73

  1. PD
    Pascaline Dupas

    Stanford University, United States

    3 publications · 487 citations

    3

    h-index

  2. SS
    Sarjinder Singh

    Texas A&M University – Kingsville, United States

    2 publications · 43 citations

    2

    h-index

  3. GB
    Guillaume Basse

    Stanford University, United States

    2 publications · 177 citations

    2

    h-index

  4. SA
    Sally Abdelfatah

    Cairo University, Egypt

    2 publications · 28 citations

    2

    h-index

  5. TT
    Thomas Tai Wing Chiu

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 69 citations

    2

    h-index

1–5 of 73

Venues

  1. 2

    h-index

  2. Spine

    2 publications · 69 citations

    2

    h-index

  3. Biometrika

    1 publications · 80 citations

    1

    h-index

  4. Computational Statistics

    1 publications · 12 citations

    1

    h-index

  5. Econometrica

    1 publications · 419 citations

    1

    h-index

1–5