Literature DB >> 25726454

External validation is only needed when prediction models are worth it (Letter commenting on: J Clin Epidemiol. 2015;68:25-34).

Forike K Martens1, Jannigje G Kers1, A Cecile J W Janssens2.   

Abstract

Mesh：

Year:  2015        PMID： 25726454     DOI： 10.1016/j.jclinepi.2015.01.022

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN： 0895-4356            Impact factor:   6.437


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  4 in total

1.  Prediction models need appropriate internal, internal-external, and external validation.

Authors:  Ewout W Steyerberg; Frank E Harrell
Journal:  J Clin Epidemiol       Date:  2015-04-18       Impact factor: 6.437

2.  Mapping the PedsQL™ onto the CHU9D: An Assessment of External Validity in a Large Community-Based Sample.

Authors:  Christine Mpundu-Kaambwa; Gang Chen; Elisabeth Huynh; Remo Russo; Julie Ratcliffe
Journal:  Pharmacoeconomics       Date:  2019-09       Impact factor: 4.981

3.  Prediction of radiosensitive patients with gastric cancer by developing gene signature.

Authors:  Jin Zhou; Xiaoyu Wu; Gang Li; Xin Gao; Min Zhai; Weichang Chen; Huagang Hu; Zaixiang Tang
Journal:  Int J Oncol       Date:  2017-08-30       Impact factor: 5.650

4.  Radiomics machine learning study with a small sample size: Single random training-test set split may lead to unreliable results.

Authors:  Chansik An; Yae Won Park; Sung Soo Ahn; Kyunghwa Han; Hwiyoung Kim; Seung-Koo Lee
Journal:  PLoS One       Date:  2021-08-12       Impact factor: 3.240
  4 in total

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