Target Trial Emulation

Target Trial Emulation is a causal-inference framework for the design and analysis of observational studies that explicitly specifies a hypothetical randomized trial (the “target trial”) and then implements its protocol using real-world data to approximate the causal effects that the trial would have estimated.

31

Publications

5.3K

Citations

190

Authors

93

Institutions

Publications per year

2017–2026

26

Authors

190

  1. MA
    Miguel A. Hernán

    Harvard University, United States

    17 publications · 4.8K citations

    17

    h-index

  2. BA
    Barbra A. Dickerman

    Harvard University, United States

    4 publications · 268 citations

    4

    h-index

  3. IJ
    Issa J Dahabreh

    Brown University, United States

    4 publications · 265 citations

    4

    h-index

  4. JM
    James M. Robins

    Harvard University, United States

    3 publications · 2.8K citations

    3

    h-index

  5. XG
    Xabier García‐Albéniz

    Harvard University, United States

    3 publications · 275 citations

    3

    h-index

1–5 of 190

Venues

  1. Epidemiology

    5 publications · 178 citations

    5

    h-index

  2. American Journal of Epidemiology

    AJE · 4 publications · 2.8K citations

    4

    h-index

  3. International Journal of Epidemiology

    3 publications · 258 citations

    3

    h-index

  4. New England Journal of Medicine

    NEJM · 2 publications · 347 citations

    2

    h-index

  5. Journal of Clinical Epidemiology

    2 publications · 140 citations

    2

    h-index

1–5