Multivariable Risk Modeling

Multivariable Risk Modeling is a statistical framework that belongs to the class of risk stratification methods and is distinguished by its simultaneous integration of multiple predictor variables to estimate the probability of a clinical outcome, thereby enabling more precise individualized risk assessment compared to univariable approaches.

321

Publications

30.7K

Citations

2.3K

Authors

927

Institutions

Publications per year

2017–2026

142

Variants

Multivariable Risk Models

Authors

2.3K

  1. GH
    Gang Hu

    Pennington Biomedical Research Center, United States

    11 publications · 615 citations

    11

    h-index

  2. PT
    Peter T. Katzmarzyk

    Pennington Biomedical Research Center, United States

    7 publications · 439 citations

    7

    h-index

  3. WC
    Walter C. Willett

    Harvard University, United States

    7 publications · 859 citations

    7

    h-index

  4. BG
    Børge G. Nordestgaard

    Copenhagen University Hospital, Denmark

    6 publications · 607 citations

    6

    h-index

  5. WZ
    Wenhui Zhao

    Pennington Biomedical Research Center, United States

    5 publications · 204 citations

    5

    h-index

1–5 of 2.3K

Venues

  1. American Journal of Epidemiology

    AJE · 12 publications · 1.3K citations

    12

    h-index

  2. PLoS ONE

    11 publications · 750 citations

    11

    h-index

  3. PubMed

    Repository · 9 publications · 176 citations

    8

    h-index

  4. Stroke

    7 publications · 1.5K citations

    7

    h-index

  5. Diabetes Care

    7 publications · 603 citations

    7

    h-index

1–5