Nederlands
HomeHospital Education and TrainingResearch About us
To top
menu
Contact & directions
View all overviewsHide all overviews

dr. J.A.A.G. (Anneke) Damen Assistant Professor

  • Department of Epidemiology
damen-anneke-jaag_e04775c4-99bb-48cc-8aef-286845209a4d.jpg.jpg

Biography

Anneke Damen is a clinical epidemiologist specialized in systematic reviews and meta-analysis of prognostic models.

She studied biomedical sciences at the Radboudumc and specialized in epidemiology and pathobiology. She did several internships at the Radboudumc, the National Expert and Training Centre for Breast Cancer Screening, and at Sanquin blood supply.

In 2014, Anneke started working as a PhD student at the Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, under supervision of Prof. Carl Moons, Prof. Rob Scholten, Dr. Lotty Hooft, and Dr. Thomas Debray. Her project focused on systematic reviews and meta-analyses of prediction model studies. She combined her PhD project with the postgraduate master Clinical Epidemiology. Furthermore, she worked as affiliated researcher for Cochrane Netherlands. Here she was active as a teacher on several courses and worked on projects for the Belgian health care Knowledge centre and Zorginstituut Nederland.

Anneke currently works as an assistant professor for Cochrane Netherlands and is the coordinator of the Cochrane Prognosis Methods Group.

Research Output

Prediction of cardiovascular risk: it is not only in the details

Damen Johanna A.A., Bots Michiel L. 10 Jul 2019 In: European Journal of Preventive Cardiology. 26, p. 1886-1887 2 p.

Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: A systematic review and meta-analysis

Damen Johanna A., Pajouheshnia Romin, Heus Pauline, Moons Karel G.M., Reitsma Johannes B., Scholten Rob J.P.M., Hooft Lotty, Debray Thomas P.A. 13 Jun 2019 In: BMC Medicine. 17

Uniformity in measuring adherence to reporting guidelines: The example of TRIPOD for assessing completeness of reporting of prediction model studies

Heus Pauline, Damen Johanna A.A.G., Pajouheshnia Romin, Scholten Rob J.P.M., Reitsma Johannes B., Collins Gary S., Altman Douglas G., Moons Karel G.M., Hooft Lotty 24 Apr 2019 In: BMJ Open. 9

Empirical evidence of the impact of study characteristics on the performance of prediction models: A meta-epidemiological study

Damen Johanna A A G, Debray Thomas P A, Pajouheshnia Romin, Reitsma Johannes B, Scholten Rob J P M, Moons Karel G M, Hooft Lotty 1 Apr 2019 In: BMJ Open. 9

Cardiovascular risk prediction models for women in the general population: A systematic review

Baart Sara J., Dam Veerle, Scheres Luuk J.J., Damen Johanna A.A.G., Spijker René, Schuit Ewoud, Debray Thomas P.A., Fauser Bart C.J.M., Boersma Eric, Moons Karel G.M., van der Schouw Yvonne T., 1 Jan 2019 In: PLoS ONE. 14, p. e0210329

The added value of different biomarkers to the Revised Cardiac Risk Index to predict major adverse cardiac events and all-cause mortality after noncardiac surgery

Vernooij Lisette M., Damen Johanna A.A.G., van Klei Wilton A., Moons Karel, Peelen Linda M. 8 Oct 2018 In: Cochrane Database of Systematic Reviews. 2018

Poor reporting of multivariable prediction model studies: towards a targeted implementation strategy of the TRIPOD statement

Heus Pauline, Damen Johanna A A G, Pajouheshnia Romin, Scholten Rob J P M, Reitsma Johannes B, Collins Gary S, Altman Douglas G, Moons Karel G M, Hooft Lotty 19 Jul 2018 In: BMC Medicine. 16, p. 120

Systematic reviews and meta-analyses of prediction model studies: methods and applications

Damen J.A.A.G. 14 Jun 2018 463 p.

Contemporary cardiovascular risk prediction

Damen Johanna A.A.G., Hooft Lotty, Moons Karel G.M. 12 May 2018 In: The Lancet. 391, p. 1867-1868 2 p.

A framework for meta-analysis of prediction model studies with binary and time-to-event outcomes

Debray Thomas Pa, Damen Johanna Aag, Riley Richard D, Snell Kym, Reitsma Johannes B, Hooft Lotty, Collins Gary S, Moons Karel Gm 1 Jan 2018 In: Statistical Methods in Medical Research. 28, p. 2768-2786 19 p.

© 2020  

Deze website maakt gebruik van cookies

Deze website toont video’s van o.a. YouTube. Dergelijke partijen plaatsen cookies (third party cookies). Als u deze cookies niet wilt kunt u dat hier aangeven. U kunt dan geen video’s op deze website zien. Wij plaatsen zelf ook cookies om onze site te verbeteren. Deze gegevens worden niet aan derden verstrekt. Lees meer over het cookiebeleid.