Minimization

Minimization is a dynamic allocation concealment technique used in randomized controlled trials that assigns participants to treatment groups by minimizing imbalances in prognostic factors across groups, distinguishing itself from simple randomization by its adaptive, stratified approach to preserving balance in key covariates.

7.9K

Publications

666.4K

Citations

17.9K

Authors

3.7K

Institutions

Publications per year

2017–2026

1.8K

Authors

17.9K

  1. MK
    Michael K. Ng

    Hong Kong Baptist University, Hong Kong SAR China

    37 publications · 3.3K citations

    26

    h-index

  2. XC
    Xiaojun Chen

    Hong Kong Polytechnic University, Hong Kong SAR China

    19 publications · 2K citations

    18

    h-index

  3. XY
    Xiaoming Yuan

    Hong Kong Baptist University, Hong Kong SAR China

    20 publications · 1.8K citations

    18

    h-index

  4. MT
    Marc Teboulle

    Tel Aviv University, Israel

    19 publications · 4.2K citations

    17

    h-index

  5. SL
    Stefano Lucidi

    Sapienza University of Rome, Italy

    19 publications · 1.1K citations

    17

    h-index

1–5 of 17.9K

Venues

  1. SIAM Journal on Optimization

    147 publications · 29.4K citations

    60

    h-index

  2. IEEE Transactions on Signal Processing

    144 publications · 18.8K citations

    60

    h-index

  3. IEEE Transactions on Image Processing

    88 publications · 14K citations

    50

    h-index

  4. arXiv (Cornell University)

    Repository · 240 publications · 9.6K citations

    49

    h-index

  5. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 60 publications · 17.1K citations

    43

    h-index

1–5