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

Autor: Wolff, Robert F, Moons, Karel GM, Riley, Richard D, Whiting, Penny F, Westwood, Marie, Collins, Gary S, Reitsma, Johannes B, Kleijnen, Jos, Mallett, Sue, Altman, Doug, Bossuyt, Patrick, Cook, Nancy R, D'Amico, Gennaro, Debray, Thomas PA, Deeks, Jon, De Groot, Joris, Di Angelantonio, Emanuele, Fahey, Tom, Harrell, Frank, Hayden, Jill A, Heymans, Martijn W, Hooft, Lotty, Hyde, Chris, Ioannidis, John, Iorio, Alfonso, Kaptoge, Stephen, Knottnerus, Andre, Leeflang, Mariska, Nixon, Frances, Perel, Pablo, Phillips, Bob, Raatz, Heike, Riemsma, Rob, Rovers, Maroeska, Rutjes, Anne WS, Sauerbrei, Willi, Sauerland, Stefan, Scheibler, Fueloep, Scholten, Rob, Schuit, Ewoud, Steyerberg, Ewout, Tan, Toni, Ter Riet, Gerben, Van Der Windt, Danielle, Vergouwe, Yvonne, Vickers, Andrew, Wood, Angela M, Grp, PROBAST, Grp, PROBAST Steering, Grp, PROBAST Delphi

Publikováno v: Annals of Internal Medicine C.2, 170, 51-58
Annals of Internal Medicine, 170(1), 51-60. American College of Physicians
Annals of Internal Medicine C.2, 170, 1, pp. 51-58
2019, ' PROBAST : A Tool to Assess the Risk of Bias and Applicability of Prediction Model Studies ', Annals of Internal Medicine, vol. 170, no. 1, pp. 51-58 . https://doi.org/10.7326/M18-1376
Annals of Internal Medicine, 170(1), 51-+. American College of Physicians
Annals of Internal Medicine, 170(1), 51
Annals of Internal Medicine, 170(1), 51. American College of Physicians

Prediction models in health care use predictors to estimate for an individual the probability that a condition or disease is already present (diagnostic model) or will occur in the future (prognostic model). Publications on prediction models have bec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a19906d75932cba7c0a415055207363f
https://pubmed.ncbi.nlm.nih.gov/30596875