Longitudinal Response Modeling

Longitudinal Response Modeling is a statistical framework within exposure-response analysis that characterizes the time-varying relationship between cumulative or time-dependent exposure and repeated measures of a health outcome, distinguishing it by explicitly accounting for temporal dynamics and within-subject correlation in repeated observations.

52

Publications

4.9K

Citations

172

Authors

117

Institutions

Publications per year

2017–2026

13

Authors

172

  1. GM
    Garrett M. Fitzmaurice

    Harvard University, United States

    3 publications · 280 citations

    3

    h-index

  2. YO
    Yasuo Ohashi

    The University of Tokyo, Japan

    2 publications · 41 citations

    2

    h-index

  3. AR
    Andrea Rotnitzky

    Harvard University, United States

    2 publications · 270 citations

    2

    h-index

  4. XZ
    Xingqiu Zhao

    Hong Kong Polytechnic University, Hong Kong SAR China

    2 publications · 30 citations

    2

    h-index

  5. JT
    Jie Tang

    Tongji University, China

    2 publications · 90 citations

    2

    h-index

1–5 of 172

Venues

  1. Statistics in Medicine

    7 publications · 108 citations

    7

    h-index

  2. Biometrics

    4 publications · 231 citations

    4

    h-index

  3. Statistical Science

    3 publications · 456 citations

    3

    h-index

  4. Nuclear Physics A

    3 publications · 131 citations

    3

    h-index

  5. 2

    h-index

1–5