Literature DB >> 22628131

Comparing risk prediction models.

Gary S Collins, Karel G M Moons.   

Abstract

Mesh：

Year:  2012        PMID： 22628131     DOI： 10.1136/bmj.e3186

Source DB:  PubMed          Journal:  BMJ        ISSN： 0959-8138


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  31 in total

1.  Mortality prediction models for pediatric intensive care: comparison of overall and subgroup specific performance.

Authors:  Idse H E Visser; Jan A Hazelzet; Marcel J I J Albers; Carin W M Verlaat; Karin Hogenbirk; Job B van Woensel; Marc van Heerde; Dick A van Waardenburg; Nicolaas J G Jansen; Ewout W Steyerberg
Journal:  Intensive Care Med       Date:  2013-02-22       Impact factor: 17.440

Review 2.  A systematic review of the status and methodological considerations for estimating risk of first ever stroke in the general population.

Authors:  Wei Xu; Jiuyi Huang; Qingsong Yu; Hongfan Yu; Yang Pu; Qiuling Shi
Journal:  Neurol Sci       Date:  2021-03-30       Impact factor: 3.307

3.  Integration of Distributed Services and Hybrid Models Based on Process Choreography to Predict and Detect Type 2 Diabetes.

Authors:  Antonio Martinez-Millana; Jose-Luis Bayo-Monton; María Argente-Pla; Carlos Fernandez-Llatas; Juan Francisco Merino-Torres; Vicente Traver-Salcedo
Journal:  Sensors (Basel)       Date:  2017-12-29       Impact factor: 3.576

4.  How to derive and validate clinical prediction models for use in intensive care medicine.

Authors:  José Labarère; Bertrand Renaud; Renaud Bertrand; Michael J Fine
Journal:  Intensive Care Med       Date:  2014-02-26       Impact factor: 17.440

5.  Prediction models for risk of developing type 2 diabetes: systematic literature search and independent external validation study.

Authors:  Ali Abbasi; Linda M Peelen; Eva Corpeleijn; Yvonne T van der Schouw; Ronald P Stolk; Annemieke M W Spijkerman; Daphne L van der A; Karel G M Moons; Gerjan Navis; Stephan J L Bakker; Joline W J Beulens
Journal:  BMJ       Date:  2012-09-18

6.  Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement.

Authors:  G S Collins; J B Reitsma; D G Altman; K G M Moons
Journal:  Br J Cancer       Date:  2015-01-06       Impact factor: 7.640

Review 7.  Diagnostic prediction models for suspected pulmonary embolism: systematic review and independent external validation in primary care.

Authors:  Janneke M T Hendriksen; Geert-Jan Geersing; Wim A M Lucassen; Petra M G Erkens; Henri E J H Stoffers; Henk C P M van Weert; Harry R Büller; Arno W Hoes; Karel G M Moons
Journal:  BMJ       Date:  2015-09-08

8.  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:  BMC Med       Date:  2015-01-06       Impact factor: 8.775

9.  Critical appraisal and data extraction for systematic reviews of prediction modelling studies: the CHARMS checklist.

Authors:  Karel G M Moons; Joris A H de Groot; Walter Bouwmeester; Yvonne Vergouwe; Susan Mallett; Douglas G Altman; Johannes B Reitsma; Gary S Collins
Journal:  PLoS Med       Date:  2014-10-14       Impact factor: 11.069

10.  Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD statement. The TRIPOD Group.

Authors:  Gary S Collins; Johannes B Reitsma; Douglas G Altman; Karel G M Moons
Journal:  Circulation       Date:  2015-01-05       Impact factor: 29.690
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