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

Assistant Professor

  • Department of Epidemiology

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


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 (30)

Protocol for a systematic review on the methodological and reporting quality of prediction model studies using machine learning techniques

Andaur Navarro Constanza L, Damen Johanna A A G, Takada Toshihiko, Nijman Steven W J, Dhiman Paula, Ma Jie, Collins Gary S, Bajpai Ram, Riley Richard D, Moons Karel Gm, Hooft Lotty 11 nov 2020, In: BMJ Open. 10 , p. e038832

The zika virus individual participant data consortium:A global initiative to estimate the effects of exposure to zika virus during pregnancy on adverse fetal, infant, and child health outcomes

Alger Jackeline, De Alencar Ximenes Ricardo Arraes, Avelino-Silva Vivian I., Bardají Azucena, Mojica Carlos Hernan Becerra, Benedetti Andrea, De Lourdes Benamor Teixeira Maria, Bethencourt Sarah, Aburto Victor Hugo Borja, Brant Fátima, Brasil Patrícia, Brickley Elizabeth B., Broutet Nathalie, Buekens Pierre, Cafferata Mariá Luisa, Calvet Guilherme, Campbell Harlan, Carabali Mabel, Chan Derrick, Costa Federico, Da Costa Ferreira Orlando, Coutinho Conrado Milani, Cunha Antonio Jose, Cure Carlos Cure, Damen Johanna A.A., De Jong Valentijn M.T., Debray Thomas P., DeBiasi Roberta L., Diaz-Martinez Luis Alfonso, Duarte Geraldo, Ferriol Diana Mariá, Ganz Jucelia S., Gérardin Patrick, Gilboa Suzanne M., Gonzalez Maritza, Muñiz Concepción Grajales, Gustafson Paul, Sanchez Luz Angela Gutierrez, Guzmán Mariá G., Hofer Cristina, Holband Natanael, Inwani Irene, Jaenisch Thomas, João Esaú, Juliana Amadu, Kara Edna, Kim Caron, Ko Albert I., Koopmans Marion, Moons Karel G.M., 30 sep 2020, In: Tropical Medicine and Infectious Disease. 5 , p. 152-160 8 p.

Carbapenem-alternative strategies for complicated urinary tract infections:a systematic review of randomized controlled trials

Ten Doesschate T, van der Vaart T W, Damen J A A, Bonten M J M, van Werkhoven C H 11 aug 2020, In: The Journal of Infection. 81 , p. 499-509 11 p.

Transparent Reporting of Multivariable Prediction Models in Journal and Conference Abstracts:TRIPOD for Abstracts

Heus Pauline, Reitsma Johannes B, Collins Gary S, Damen Johanna A A G, Scholten Rob J P M, Altman Douglas G, Moons Karel G M, Hooft Lotty 2 jun 2020, In: Annals of Internal Medicine. 173 , p. 42-47 6 p.

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 okt 2018, In: Cochrane Database of Systematic Reviews. 2018

All Research Output (30)