Randomization Schedule Generation

Randomization Schedule Generation is the systematic process of creating a predetermined sequence of treatment assignments in clinical trials or experimental studies, distinguished by its reliance on formal algorithms or statistical methods to ensure unbiased allocation while preserving the integrity of randomization.

21

Publications

2.1K

Citations

167

Authors

84

Institutions

Publications per year

2017–2026

7

Authors

167

  1. ÁI
    Ármann Ingólfsson

    University of Alberta, Canada

    2 publications · 106 citations

    2

    h-index

  2. EA
    Edgar Alberto Cabral

    University of Alberta, Canada

    2 publications · 106 citations

    2

    h-index

  3. XW
    Xudong Wu

    Shanghai Jiao Tong University, China

    2 publications · 106 citations

    2

    h-index

  4. YS
    Yuqian Sun

    Peking University People's Hospital, China

    1 publications · 26 citations

    1

    h-index

  5. KA
    Kouhei Akazawa

    Kyushu University, Japan

    1 publications · 14 citations

    1

    h-index

1–5 of 167

Venues

  1. Trials

    2 publications · 52 citations

    2

    h-index

  2. Real-Time Systems

    1 publications · 13 citations

    1

    h-index

  3. Computer Methods and Programs in Biomedicine

    1 publications · 14 citations

    1

    h-index

  4. Annals of Behavioral Medicine

    1 publications · 30 citations

    1

    h-index

  5. Statistics in Medicine

    1 publications · 26 citations

    1

    h-index

1–5