Treatment Assignment Monitoring

Treatment Assignment Monitoring is a methodological framework within the domain of experimental design and statistical quality control that systematically verifies the adherence of observed treatment group allocations to their intended sample ratios, thereby detecting deviations indicative of sample ratio mismatch in randomized controlled trials.

29

Publications

1.7K

Citations

182

Authors

87

Institutions

Publications per year

2017–2026

4

Authors

182

  1. YZ
    Yingdong Zhao

    National Cancer Institute, United States

    2 publications · 56 citations

    2

    h-index

  2. EC
    Eric C. Polley

    Mayo Clinic in Arizona, United States

    2 publications · 56 citations

    2

    h-index

  3. RS
    Richard Simon

    National Cancer Institute, United States

    2 publications · 56 citations

    2

    h-index

  4. JS
    Jasjit S. Ahluwalia

    University of Minnesota, United States

    1 publications · 19 citations

    1

    h-index

  5. MH
    Madhukar H. Trivedi

    The University of Texas Southwestern Medical Center, United States

    1 publications · 153 citations

    1

    h-index

1–5 of 182

Venues

  1. Trials

    1 publications · 14 citations

    2

    h-index

  2. Controlled Clinical Trials

    2 publications · 313 citations

    2

    h-index

  3. Journal of Molecular Diagnostics

    JMD · 1 publications · 45 citations

    1

    h-index

  4. eScholarship (California Digital Library)

    Repository · 1 publications · 121 citations

    1

    h-index

  5. American Journal of Hypertension

    AJH · 1 publications · 49 citations

    1

    h-index

1–5