Literature DB >> 25981519

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

Ewout W Steyerberg1, Frank E Harrell2.   

Abstract

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Year:  2015        PMID： 25981519      PMCID： PMC5578404          DOI： 10.1016/j.jclinepi.2015.04.005

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


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  17 in total

1.  Internal validation of predictive models: efficiency of some procedures for logistic regression analysis.

Authors:  E W Steyerberg; F E Harrell; G J Borsboom; M J Eijkemans; Y Vergouwe; J D Habbema
Journal:  J Clin Epidemiol       Date:  2001-08       Impact factor: 6.437

2.  Internal and external validation of predictive models: a simulation study of bias and precision in small samples.

Authors:  Ewout W Steyerberg; Sacha E Bleeker; Henriëtte A Moll; Diederick E Grobbee; Karel G M Moons
Journal:  J Clin Epidemiol       Date:  2003-05       Impact factor: 6.437

3.  Construction and validation of a prognostic model across several studies, with an application in superficial bladder cancer.

Authors:  Patrick Royston; Mahesh K B Parmar; Richard Sylvester
Journal:  Stat Med       Date:  2004-03-30       Impact factor: 2.373

4.  Validation of prognostic indices using the frailty model.

Authors:  C Legrand; L Duchateau; P Janssen; V Ducrocq; R Sylvester
Journal:  Lifetime Data Anal       Date:  2008-07-11       Impact factor: 1.588

5.  Transparent reporting of a multivariable prediction model for Individual Prognosis or Diagnosis (TRIPOD): the TRIPOD statement.

Authors:  Gary S Collins; Johannes B Reitsma; Douglas G Altman; Karel G M Moons
Journal:  J Clin Epidemiol       Date:  2015-02       Impact factor: 6.437

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

Authors:  Forike K Martens; Jannigje G Kers; A Cecile J W Janssens
Journal:  J Clin Epidemiol       Date:  2015-02-03       Impact factor: 6.437

7.  A new framework to enhance the interpretation of external validation studies of clinical prediction models.

Authors:  Thomas P A Debray; Yvonne Vergouwe; Hendrik Koffijberg; Daan Nieboer; Ewout W Steyerberg; Karel G M Moons
Journal:  J Clin Epidemiol       Date:  2014-08-30       Impact factor: 6.437

8.  Prediction of MLH1 and MSH2 mutations in Lynch syndrome.

Authors:  Judith Balmaña; David H Stockwell; Ewout W Steyerberg; Elena M Stoffel; Amie M Deffenbaugh; Julia E Reid; Brian Ward; Thomas Scholl; Brant Hendrickson; John Tazelaar; Lynn Anne Burbidge; Sapna Syngal
Journal:  JAMA       Date:  2006-09-27       Impact factor: 56.272

9.  Events per variable (EPV) and the relative performance of different strategies for estimating the out-of-sample validity of logistic regression models.

Authors:  Peter C Austin; Ewout W Steyerberg
Journal:  Stat Methods Med Res       Date:  2014-11-19       Impact factor: 3.021

10.  Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics.

Authors:  Ewout W Steyerberg; Nino Mushkudiani; Pablo Perel; Isabella Butcher; Juan Lu; Gillian S McHugh; Gordon D Murray; Anthony Marmarou; Ian Roberts; J Dik F Habbema; Andrew I R Maas
Journal:  PLoS Med       Date:  2008-08-05       Impact factor: 11.069
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  176 in total

Review 1.  Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group.

Authors:  Mohamed Amgad; Elisabeth Specht Stovgaard; Eva Balslev; Jeppe Thagaard; Weijie Chen; Sarah Dudgeon; Ashish Sharma; Jennifer K Kerner; Carsten Denkert; Yinyin Yuan; Khalid AbdulJabbar; Stephan Wienert; Peter Savas; Leonie Voorwerk; Andrew H Beck; Anant Madabhushi; Johan Hartman; Manu M Sebastian; Hugo M Horlings; Jan Hudeček; Francesco Ciompi; David A Moore; Rajendra Singh; Elvire Roblin; Marcelo Luiz Balancin; Marie-Christine Mathieu; Jochen K Lennerz; Pawan Kirtani; I-Chun Chen; Jeremy P Braybrooke; Giancarlo Pruneri; Sandra Demaria; Sylvia Adams; Stuart J Schnitt; Sunil R Lakhani; Federico Rojo; Laura Comerma; Sunil S Badve; Mehrnoush Khojasteh; W Fraser Symmans; Christos Sotiriou; Paula Gonzalez-Ericsson; Katherine L Pogue-Geile; Rim S Kim; David L Rimm; Giuseppe Viale; Stephen M Hewitt; John M S Bartlett; Frédérique Penault-Llorca; Shom Goel; Huang-Chun Lien; Sibylle Loibl; Zuzana Kos; Sherene Loi; Matthew G Hanna; Stefan Michiels; Marleen Kok; Torsten O Nielsen; Alexander J Lazar; Zsuzsanna Bago-Horvath; Loes F S Kooreman; Jeroen A W M van der Laak; Joel Saltz; Brandon D Gallas; Uday Kurkure; Michael Barnes; Roberto Salgado; Lee A D Cooper
Journal:  NPJ Breast Cancer       Date:  2020-05-12

2.  How good are we at predicting the fate of someone with acute myeloid leukaemia?

Authors:  E Estey; R P Gale
Journal:  Leukemia       Date:  2017-03-17       Impact factor: 11.528

3.  Deep Learning Analysis of Upright-Supine High-Efficiency SPECT Myocardial Perfusion Imaging for Prediction of Obstructive Coronary Artery Disease: A Multicenter Study.

Authors:  Julian Betancur; Lien-Hsin Hu; Frederic Commandeur; Tali Sharir; Andrew J Einstein; Mathews B Fish; Terrence D Ruddy; Philipp A Kaufmann; Albert J Sinusas; Edward J Miller; Timothy M Bateman; Sharmila Dorbala; Marcelo Di Carli; Guido Germano; Yuka Otaki; Joanna X Liang; Balaji K Tamarappoo; Damini Dey; Daniel S Berman; Piotr J Slomka
Journal:  J Nucl Med       Date:  2018-09-27       Impact factor: 10.057

4.  Development and Validation of an Electronic Medical Record Algorithm to Identify Phenotypes of Rotator Cuff Tear.

Authors:  Chan Gao; Run Fan; Gregory D Ayers; Ayush Giri; Kindred Harris; Ravi Atreya; Pedro L Teixeira; Nitin B Jain
Journal:  PM R       Date:  2020-04-29       Impact factor: 2.298

5.  Discovery and validation of a personalized risk predictor for incident tuberculosis in low transmission settings.

Authors:  Marc Lipman; Mahdad Noursadeghi; Ibrahim Abubakar; Rishi K Gupta; Claire J Calderwood; Alexei Yavlinsky; Maria Krutikov; Matteo Quartagno; Maximilian C Aichelburg; Neus Altet; Roland Diel; Claudia C Dobler; Jose Dominguez; Joseph S Doyle; Connie Erkens; Steffen Geis; Pranabashis Haldar; Anja M Hauri; Thomas Hermansen; James C Johnston; Christoph Lange; Berit Lange; Frank van Leth; Laura Muñoz; Christine Roder; Kamila Romanowski; David Roth; Martina Sester; Rosa Sloot; Giovanni Sotgiu; Gerrit Woltmann; Takashi Yoshiyama; Jean-Pierre Zellweger; Dominik Zenner; Robert W Aldridge; Andrew Copas; Molebogeng X Rangaka
Journal:  Nat Med       Date:  2020-10-19       Impact factor: 53.440

6.  Nonclinical Features in Predictive Modeling of Cardiovascular Diseases: A Machine Learning Approach.

Authors:  Mirza Rizwan Sajid; Noryanti Muhammad; Roslinazairimah Zakaria; Ahmad Shahbaz; Syed Ahmad Chan Bukhari; Seifedine Kadry; A Suresh
Journal:  Interdiscip Sci       Date:  2021-03-06       Impact factor: 2.233

7.  Prediction of HIV Transmission Cluster Growth With Statewide Surveillance Data.

Authors:  Rachael M Billock; Kimberly A Powers; Dana K Pasquale; Erika Samoff; Victoria L Mobley; William C Miller; Joseph J Eron; Ann M Dennis
Journal:  J Acquir Immune Defic Syndr       Date:  2019-02-01       Impact factor: 3.731

8.  Prognostic models for predicting overall survival in metastatic castration-resistant prostate cancer: a systematic review.

Authors:  M Pinart; F Kunath; V Lieb; I Tsaur; B Wullich; Stefanie Schmidt
Journal:  World J Urol       Date:  2018-12-15       Impact factor: 4.226

9.  Life-Gained-Based Versus Risk-Based Selection of Smokers for Lung Cancer Screening.

Authors:  Li C Cheung; Christine D Berg; Philip E Castle; Hormuzd A Katki; Anil K Chaturvedi
Journal:  Ann Intern Med       Date:  2019-10-22       Impact factor: 25.391

10.  Signatures of Subacute Potentially Catastrophic Illness in the ICU: Model Development and Validation.

Authors:  Travis J Moss; Douglas E Lake; J Forrest Calland; Kyle B Enfield; John B Delos; Karen D Fairchild; J Randall Moorman
Journal:  Crit Care Med       Date:  2016-09       Impact factor: 7.598
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