Treatment Allocation Rules

Treatment Allocation Rule is a decision rule within Bayesian decision theory that specifies how treatments are assigned to individuals based on minimizing expected posterior loss under a given decision-theoretic framework.

50

Publications

3.4K

Citations

229

Authors

121

Institutions

Publications per year

2017–2026

14

Variants

Allocation Rules

Authors

229

  1. TA
    Thomas A. Louis

    Johns Hopkins University, United States

    2 publications · 72 citations

    2

    h-index

  2. CF
    Charles F. Manski

    Northwestern University, United States

    2 publications · 446 citations

    2

    h-index

  3. MG
    Michelle G. Newman

    Pennsylvania State University, United States

    2 publications · 185 citations

    2

    h-index

  4. AB
    Asheesh Bedi

    University of Michigan, United States

    2 publications · 89 citations

    2

    h-index

  5. DS
    D. Stephen Coad

    University of Sussex, United Kingdom

    2 publications · 27 citations

    2

    h-index

1–5 of 229

Venues

  1. Statistics in Medicine

    4 publications · 152 citations

    4

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  2. Econometrica

    3 publications · 713 citations

    3

    h-index

  3. PLoS ONE

    2 publications · 85 citations

    2

    h-index

  4. 2

    h-index

  5. Biometrics

    2 publications · 58 citations

    2

    h-index

1–5