PROBAST: A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies
- Author(s):
- 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.; Groot, J. de; Angelantonio, E. di; Fahey, T.; Harrell, F.; Hayden, J.A.; Heymans, M.W.; Hooft, L.; Hyde, C.; Ioannidis, J.; Iorio, A.; Kaptoge, S.; Knottnerus, A.; Leeflang, M.; Nixon, F.; Perel, P.; Phillips, B.; Raatz, H.; Riemsma, R.; Rovers, M.; Rutjes, A.W.S.; Sauerbrei, W.; Sauerland, S.; Scheibler, F.; Scholten, R.; Schuit, E.; Steyerberg, E.; Tan, T.; Riet, G. ter; Windt, D. van der; Vergouwe, Y.; Vickers, A.; Wood, A.M.; PROBAST Grp; PROBAST Steering Grp; PROBAST Delphi Grp
- Published
- 2019
- Publication type
- Article / Letter to editor
- Date issued
- 2019-01-01
- Language
- English
- Is part of
- Annals of Internal Medicine (2019), Vol. 170, no. 1, p. 51-+
- hdl
- 1887/119447
- doi
- 10.7326/M18-1376