PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies

Robert F. Wolff*, Karel G. M. Moons, Richard D. Riley, Penny F. Whiting, Marie Westwood, Gary S. Collins, Johannes B. Reitsma, Jos Kleijnen, Sue Mallett, Doug Altman, Patrick Bossuyt, Nancy R. Cook, Gennaro D'Amico, Thomas P. A. Debray, Jon Deeks, Joris de Groot, Emanuele di Angelantonio, Tom Fahey, Frank Harrell, Jill A. HaydenMartijn W. Heymans, Lotty Hooft, Chris Hyde, John Ioannidis, Alfonso Iorio, Stephen Kaptoge, Andre Knottnerus, Mariska Leeflang, Frances Nixon, Pablo Perel, Bob Phillips, Heike Raatz, Rob Riemsma, Maroeska Rovers, Anne W. S. Rutjes, Willi Sauerbrei, Stefan Sauerland, Fueloep Scheibler, Rob Scholten, Ewoud Schuit, Ewout Steyerberg, Toni Tan, Gerben ter Riet, Danielle van der Windt, Yvonne Vergouwe, Andrew Vickers, Angela M. Wood, , ,

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Original languageEnglish
Pages (from-to)51-60
Number of pages10
JournalAnnals of Internal Medicine
Volume170
Issue number1
DOIs
Publication statusPublished - 1 Jan 2019

Keywords

  • DIAGNOSIS TRIPOD
  • EXPLANATION
  • INDIVIDUAL PROGNOSIS

Cite this

Wolff, R. F., Moons, K. G. M., Riley, R. D., Whiting, P. F., Westwood, M., Collins, G. S., Reitsma, J. B., Kleijnen, J., Mallett, S., Altman, D., Bossuyt, P., Cook, N. R., D'Amico, G., Debray, T. P. A., Deeks, J., de Groot, J., di Angelantonio, E., Fahey, T., Harrell, F. (2019). PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies. Annals of Internal Medicine, 170(1), 51-60. https://doi.org/10.7326/M18-1376