Matched-pair Designs

Matched-Pair Designs is a type of experimental design in which subjects are grouped into pairs based on similar characteristics and each member of a pair is randomly assigned to different treatments, thereby allowing for more precise comparison by controlling for confounding variables through pairing.

1.4K

Publications

114.9K

Citations

2.5K

Authors

954

Institutions

Publications per year

2017–2026

150

Authors

2.5K

  1. PR
    Paul R. Rosenbaum

    University of Pennsylvania, United States

    24 publications · 2K citations

    21

    h-index

  2. PJ
    Peter J. Urcuioli

    Purdue University West Lafayette, United States

    23 publications · 791 citations

    19

    h-index

  3. TR
    Thomas R. Zentall

    University of Kentucky, United States

    14 publications · 781 citations

    12

    h-index

  4. AE
    Alvin E. Roth

    Stanford University, United States

    12 publications · 1.6K citations

    11

    h-index

  5. RA
    Ralph A. Bradley

    Florida State University, United States

    10 publications · 462 citations

    10

    h-index

1–5 of 2.5K

Venues

  1. Biometrics

    58 publications · 5.6K citations

    36

    h-index

  2. Journal of the Experimental Analysis of Behavior

    58 publications · 7.1K citations

    35

    h-index

  3. Biometrika

    56 publications · 5.8K citations

    34

    h-index

  4. Statistics in Medicine

    46 publications · 10.1K citations

    29

    h-index

  5. Journal of the American Statistical Association

    39 publications · 4.2K citations

    27

    h-index

1–5