Lagged Effect Analysis

Lagged Effect Analysis is a statistical method that identifies delayed causal influences of one variable on another over time by examining the effects of a predictor at a prior time point on an outcome at a subsequent time point within longitudinal or time-series data.

259

Publications

21.2K

Citations

805

Authors

425

Institutions

Publications per year

2017–2026

104

Variants

Distributed Lag Analysis

Authors

805

  1. PB
    Peng Bi

    The University of Adelaide, Australia

    3 publications · 251 citations

    3

    h-index

  2. JW
    John W. Burns

    Rosalind Franklin University of Medicine and Science, United States

    3 publications · 400 citations

    3

    h-index

  3. SB
    Stephen Bruehl

    Vanderbilt University, United States

    3 publications · 400 citations

    3

    h-index

  4. MW
    Michael W. Klein

    Tufts University, United States

    3 publications · 122 citations

    3

    h-index

  5. KJ
    Kristin J. Forbes

    National Bureau of Economic Research, United States

    3 publications · 122 citations

    3

    h-index

1–5 of 805

Venues

  1. PLoS ONE

    5 publications · 345 citations

    5

    h-index

  2. Current Psychology

    4 publications · 86 citations

    4

    h-index

  3. Journal of Occupational Health Psychology

    4 publications · 474 citations

    4

    h-index

  4. The Journals of Gerontology Series B

    4 publications · 269 citations

    4

    h-index

  5. Journal of Vocational Behavior

    3 publications · 202 citations

    3

    h-index

1–5