Literature DB >> 21030068

Everything you always wanted to know about evaluating prediction models (but were too afraid to ask).

Andrew J Vickers1, Angel M Cronin.   

Abstract

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Year:  2010        PMID： 21030068      PMCID： PMC2997853          DOI： 10.1016/j.urology.2010.06.019

Source DB:  PubMed          Journal:  Urology        ISSN： 0090-4295            Impact factor:   2.649


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  8 in total

Review 1.  Traditional statistical methods for evaluating prediction models are uninformative as to clinical value: towards a decision analytic framework.

Authors:  Andrew J Vickers; Angel M Cronin
Journal:  Semin Oncol       Date:  2010-02       Impact factor: 4.929

2.  Validating a prognostic model.

Authors:  Michael W Kattan
Journal:  Cancer       Date:  2006-12-01       Impact factor: 6.860

3.  Predicting outcomes in prostate cancer: how many more nomograms do we need?

Authors:  Robert W Ross; Philip W Kantoff
Journal:  J Clin Oncol       Date:  2007-08-20       Impact factor: 44.544

4.  Should I use this nomogram?

Authors:  Michael W Kattan
Journal:  BJU Int       Date:  2008-06-04       Impact factor: 5.588

5.  What is a real nomogram?

Authors:  Michael W Kattan; Joe Marasco
Journal:  Semin Oncol       Date:  2010-02       Impact factor: 4.929

6.  Assessing the performance of prediction models: a framework for traditional and novel measures.

Authors:  Ewout W Steyerberg; Andrew J Vickers; Nancy R Cook; Thomas Gerds; Mithat Gonen; Nancy Obuchowski; Michael J Pencina; Michael W Kattan
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

7.  Why can't nomograms be more like Netflix?

Authors:  Andrew J Vickers; Paul Fearn; Peter T Scardino; Mike W Kattan
Journal:  Urology       Date:  2009-10-30       Impact factor: 2.649

8.  Decision analysis for the evaluation of diagnostic tests, prediction models and molecular markers.

Authors:  Andrew J Vickers
Journal:  Am Stat       Date:  2008       Impact factor: 8.710
  8 in total
  34 in total

1.  Evaluation of models predicting insignificant prostate cancer to select men for active surveillance of prostate cancer.

Authors:  L M Wong; D E Neal; A Finelli; S Davis; C Bonner; J Kapoor; J Trachtenberg; B Thomas; C M Hovens; A J Costello; N M Corcoran
Journal:  Prostate Cancer Prostatic Dis       Date:  2015-02-10       Impact factor: 5.554

Review 2.  Predicting Life Expectancy in Men Diagnosed with Prostate Cancer.

Authors:  Jesse D Sammon; Firas Abdollah; Anthony D'Amico; Matthew Gettman; Alexander Haese; Nazareno Suardi; Andrew Vickers; Quoc-Dien Trinh
Journal:  Eur Urol       Date:  2015-03-26       Impact factor: 20.096

3.  External validation of a nomogram for the prediction of 10-year life expectancy in candidates for radical prostatectomy.

Authors:  Sophie Knipper; David Pröwrock; Zhe Tian; Hans Heinzer; Derya Tilki; Pierre Karakiewicz; Markus Graefen
Journal:  World J Urol       Date:  2019-03-04       Impact factor: 4.226

4.  Prediction models in cancer care.

Authors:  Andrew J Vickers
Journal:  CA Cancer J Clin       Date:  2011-06-23       Impact factor: 508.702

Review 5.  The Wally plot approach to assess the calibration of clinical prediction models.

Authors:  Paul Blanche; Thomas A Gerds; Claus T Ekstrøm
Journal:  Lifetime Data Anal       Date:  2017-12-06       Impact factor: 1.588

6.  A prospectively validated nomogram for predicting the risk of chemotherapy-induced febrile neutropenia: a multicenter study.

Authors:  H Bozcuk; M Yıldız; M Artaç; M Kocer; Ç Kaya; E Ulukal; S Ay; M P Kılıç; E H Şimşek; P Kılıçkaya; S Uçar; H S Coskun; B Savas
Journal:  Support Care Cancer       Date:  2014-11-30       Impact factor: 3.603

7.  Fracture risk assessment: state of the art, methodologically unsound, or poorly reported?

Authors:  Gary S Collins; Karl Michaëlsson
Journal:  Curr Osteoporos Rep       Date:  2012-09       Impact factor: 5.096

8.  Evaluating the Prostate Cancer Prevention Trial High Grade Prostate Cancer Risk Calculator in 10 international biopsy cohorts: results from the Prostate Biopsy Collaborative Group.

Authors:  Donna P Ankerst; Andreas Boeck; Stephen J Freedland; J Stephen Jones; Angel M Cronin; Monique J Roobol; Jonas Hugosson; Michael W Kattan; Eric A Klein; Freddie Hamdy; David Neal; Jenny Donovan; Dipen J Parekh; Helmut Klocker; Wolfgang Horninger; Amine Benchikh; Gilles Salama; Arnauld Villers; Daniel M Moreira; Fritz H Schröder; Hans Lilja; Andrew J Vickers; Ian M Thompson
Journal:  World J Urol       Date:  2012-04-22       Impact factor: 4.226

Review 9.  Top ten errors of statistical analysis in observational studies for cancer research.

Authors:  A Carmona-Bayonas; P Jimenez-Fonseca; A Fernández-Somoano; F Álvarez-Manceñido; E Castañón; A Custodio; F A de la Peña; R M Payo; L P Valiente
Journal:  Clin Transl Oncol       Date:  2017-12-07       Impact factor: 3.405

Review 10.  A systematic review of the tools available for predicting survival and managing patients with urothelial carcinomas of the bladder and of the upper tract in a curative setting.

Authors:  Sarah J Drouin; David R Yates; Vincent Hupertan; Olivier Cussenot; Morgan Rouprêt
Journal:  World J Urol       Date:  2012-12-18       Impact factor: 4.226
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