Lagged Effects Modeling

Lagged Effects Modeling is a statistical modeling approach within longitudinal data analysis that specifies temporal dependencies by incorporating delayed influences of predictor variables on outcomes, distinguishing it from contemporaneous models through its explicit representation of effects manifesting at subsequent time points.

287

Publications

16.9K

Citations

1K

Authors

529

Institutions

Publications per year

2017–2026

126

Authors

1K

  1. FF
    Fredrik Falkenström

    Linköping University, Sweden

    4 publications · 267 citations

    4

    h-index

  2. SJ
    Simon Johnson

    Massachusetts Institute of Technology, United States

    3 publications · 76 citations

    3

    h-index

  3. QL
    Qiyong Liu

    National Institute for Communicable Disease Control and Prevention, China

    3 publications · 161 citations

    3

    h-index

  4. LF
    Luca Faes

    University of Trento, Italy

    3 publications · 199 citations

    3

    h-index

  5. AL
    Alfésio Luı́s Ferreira Braga

    Universidade de São Paulo, Brazil

    3 publications · 711 citations

    3

    h-index

1–5 of 1K

Venues

  1. Journal of Consulting and Clinical Psychology

    9 publications · 769 citations

    9

    h-index

  2. SSRN Electronic Journal

    Repository · 8 publications · 320 citations

    8

    h-index

  3. 6

    h-index

  4. Psychological Medicine

    5 publications · 103 citations

    5

    h-index

  5. Journal of Family Psychology

    JFP · 5 publications · 428 citations

    5

    h-index

1–5