Subject Effects

Subject Effects is a statistical construct in crossover designs that captures the individual-specific variability in responses, distinguishing it from treatment and period effects by isolating the influence of inherent subject characteristics on outcome measures.

382

Publications

35.8K

Citations

1.1K

Authors

507

Institutions

Publications per year

2017–2026

65

Authors

1.1K

  1. CR
    Craig R. Rush

    University of Kentucky, United States

    20 publications · 667 citations

    16

    h-index

  2. WW
    William W. Stoops

    University of Kentucky, United States

    12 publications · 357 citations

    12

    h-index

  3. LR
    Lon R. Hays

    University of Kentucky, United States

    7 publications · 194 citations

    7

    h-index

  4. UE
    Ulrich Ebner‐Priemer

    Central Institute of Mental Health, Germany

    6 publications · 277 citations

    6

    h-index

  5. PE
    Paul E.A. Glaser

    University of Kentucky, United States

    6 publications · 158 citations

    6

    h-index

1–5 of 1.1K

Venues

  1. Statistics in Medicine

    15 publications · 780 citations

    14

    h-index

  2. Psychological Bulletin

    11 publications · 1.5K citations

    11

    h-index

  3. Journal of the American Statistical Association

    10 publications · 349 citations

    10

    h-index

  4. Biometrics

    8 publications · 628 citations

    8

    h-index

  5. NeuroImage

    8 publications · 972 citations

    8

    h-index

1–5