Cluster Randomized Mapping

Cluster Randomized Mapping is a spatial epidemiological method that allocates interventions or measurements to predefined geographic clusters rather than individual units, enabling the analysis of disease patterns and intervention effects while accounting for spatial correlation and minimizing contamination between study arms.

1

Publications

40

Citations

2

Authors

1

Institutions

Publications per year

2017–2026

0

Authors

2

  1. GV
    Giorgio Valentini

    University of Milan, Italy

    1 publications · 40 citations

    1

    h-index

  2. AB
    Alberto Bertoni

    University of Milan, Italy

    1 publications · 40 citations

    1

    h-index

1–2 of 2

Institutions

1

  1. University of Milan

    Milan, Italy

    1 h-index

    2 publications

    80 citations

1–1 of 1

Venues

  1. Artificial Intelligence in Medicine

    AIM · 1 publications · 40 citations

    1

    h-index

1–1