Internal Validation

Internal Validation is a methodological process in risk prediction research that assesses the performance of a model by evaluating its calibration and discrimination within the same dataset or population from which it was derived, thereby distinguishing it from external validation approaches that rely on independent datasets.

1.3K

Publications

73.4K

Citations

9.3K

Authors

2.5K

Institutions

Publications per year

2017–2026

869

Authors

9.3K

  1. EW
    Ewout W. Steyerberg

    Erasmus MC, Netherlands

    12 publications · 6.9K citations

    12

    h-index

  2. MW
    Martijn W. Heymans

    Amsterdam UMC Location Vrije Universiteit Amsterdam, Netherlands

    7 publications · 213 citations

    8

    h-index

  3. KK
    Kyung‐Hee Kim

    Sejong General Hospital, South Korea

    8 publications · 814 citations

    8

    h-index

  4. FK
    Felix K.‐H. Chun

    Universität Hamburg, Germany

    8 publications · 1.3K citations

    8

    h-index

  5. TK
    Tae Keun Yoo

    Yonsei University, South Korea

    7 publications · 461 citations

    7

    h-index

1–5 of 9.3K

Venues

  1. Scientific Reports

    41 publications · 1.6K citations

    22

    h-index

  2. PLoS ONE

    31 publications · 1.4K citations

    19

    h-index

  3. Frontiers in Oncology

    28 publications · 585 citations

    17

    h-index

  4. Cancers

    14 publications · 467 citations

    12

    h-index

  5. PubMed

    Repository · 11 publications · 694 citations

    11

    h-index

1–5