Fractional Polynomial Models

Fractional Polynomial Models is a statistical modeling technique that extends traditional polynomial regression by allowing non-integer powers of predictor variables, thereby enabling more flexible and parsimonious fitting of nonlinear dose-response relationships in meta-analytic data.

257

Publications

21.7K

Citations

1.5K

Authors

799

Institutions

Publications per year

2017–2026

105

Authors

1.5K

  1. PR
    Patrick Royston

    MRC Clinical Trials Unit at UCL, United Kingdom

    28 publications · 5.6K citations

    24

    h-index

  2. WS
    Willi Sauerbrei

    University of Freiburg, Germany

    21 publications · 4.6K citations

    19

    h-index

  3. DG
    Douglas G. Altman

    University of Oxford, United Kingdom

    5 publications · 853 citations

    5

    h-index

  4. RM
    Rachid Malti

    Université de Bordeaux, France

    5 publications · 318 citations

    5

    h-index

  5. MP
    Maurice P. Zeegers

    Maastricht University, Netherlands

    4 publications · 117 citations

    4

    h-index

1–5 of 1.5K

Venues

  1. Statistics in Medicine

    13 publications · 2.4K citations

    13

    h-index

  2. Chaos Solitons & Fractals

    10 publications · 657 citations

    9

    h-index

  3. Ultrasound in Obstetrics and Gynecology

    5 publications · 346 citations

    5

    h-index

  4. PLoS ONE

    5 publications · 278 citations

    5

    h-index

  5. 5

    h-index

1–5