WalkerW.C., StrombergK.A., MarwitzJ.H., SimaA.P., AgyemangA.A., GrahamK.M., Harrison-FelixC., HoffmanJ.M., BrownA.W., KreutzerJ.S., and MerchantR. (2018). Predicting long-term global outcome after traumatic brain injury: development of a practical prognostic tool using the traumatic brain injury model systems national database. J. Neurotrauma, 35, 1587–1595.
2.
SteyerbergE.W. (2009). Clinical Prediction Models: A Practical Approach to Development, Validation, and Updating. Springer: New York, 115–129.
3.
van der PloegT., SmitsM., DippelD.W., HuninkM., and SteyerbergE.W. (2011). Prediction of intracranial findings on CT-scans by alternative modelling techniques. BMC Med. Res. Methodol, 11, 143.
4.
AustinP.C. (2007). A comparison of regression trees, logistic regression, generalized additive models, and multivariate adaptive regression splines for predicting AMI mortality. Stat. Med. 26, 2937–2957.
5.
SteyerbergE.W. and HarrellF.E.Jr. (2016). Prediction models need appropriate internal, internal-external, and external validation. J. Clin. Epidemiol. 69, 245–247.
6.
MushkudianiN.A., HukkelhovenC.W., HernandezA.V., MurrayG.D., ChoiS.C., MaasA.I., and SteyerbergE.W. (2008). A systematic review finds methodological improvements necessary for prognostic models in determining traumatic brain injury outcomes. J. Clin. Epidemiol. 61, 331–343.
7.
SteyerbergE.W., MushkudianiN., PerelP., ButcherI., LuJ., McHughG.S., MurrayG.D., MarmarouA., RobertsI., HabbemaJ.D., and MaasA.I. (2008). Predicting outcome after traumatic brain injury: development and international validation of prognostic scores based on admission characteristics. PLoS Med,, 5, e165.
8.
MRC CRASH Trial Collaborators, PerelP., ArangoM., ClaytonT., EdwardsP., KomolafeE., PoccockS., RobertsI., ShakurH., SteyerbergE., YutthakasemsuntS. (2008). Predicting outcome after traumatic brain injury: practical prognostic models based on large cohort of international patients. BMJ, 336, 425–429.