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

  • Department of Epidemiology
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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

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., 8 Jan 2019 In: PLoS ONE. 14

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

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.

How Treatment Use Is Addressed in Prognostic Research: A Systematic Review

Pajouheshnia R, Damen JAAG, Groenwold RHH, Moons KGM, Peelen LM 19 Jul 2016

More than half of the TRIPOD items are inadequately reported in prediction modelling studies

Heus P, Damen JAAG, Pajouheshnia R, Scholten RJ, Reitsma JB, Collins Gary S., Altman Douglas G, Moons KGM, Hooft Lotty 19 Jul 2016

Prediction models for cardiovascular disease risk in the general population: Systematic review

Damen Johanna A A G , Hooft Lotty, Schuit Ewoud, Debray Thomas P A, Collins Gary S., Tzoulaki Ioanna, Lassale Camille M., Siontis George C M, Chiocchia Virginia, Roberts Corran, Schlüssel Michael Maia, Gerry Stephen, Black James A., Heus Pauline, Van Der Schouw Yvonne T., Peelen Linda M., Moons Karel G M 16 May 2016 In: BMJ - Clinical research. 353

Performance of the Framingham models and Pooled Cohort Equations for prediction of cardiovascular disease in the general population: a meta-analysis

Damen JAAG, Debray TPA, Heus P, Hooft L, Moons KGM, Pajouheshnia R, Reitsma JB, Scholten RJ 2016

Design characteristics of external validation studies influencing the performance of risk prediction models

Damen JAAG, Debray TPA, Heus P, Hooft L, Moons KGM, Pajouheshnia R, Reitsma JB, Scholten RJ 2016

Systematic review of prediction models for cardiovascular disease risk in the general population: stop developing, start validating

Damen JAAG, Hooft L, Schuit E, Debray TPA, Collins G. S., Tzoulaki Ioanna, Lassale Camille M, Siontis George CM, Chiocchia Virginia, Roberts Corran, Schlüssel Michael Maia, Gerry Stephen, Black James, Heus P, van der Schouw YT, Peelen LM, Moons KGM 2016

Performance of the Framingham risk models and Pooled Cohort Equations for the prediction of cardiovascular disease in the general population: a meta-analysis

Damen JAAG, Debray TPA, Heus P, Hooft L, Moons KGM, Pajouheshnia R, Reitsma JB, Scholten RJ 2016

© 2019  

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