Regarding the predictors and surgical outcome of hemorrhagic metastatic brain malignancies
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11060-024-04814-z.pdf
Reference4 articles.
1. Rauschenbach L, Kolbe P, Engel A, Ahmadipour Y, Oppong MD, Santos AN, Kebir S, Dobersalske C, Scheffler B, Deuschl C, Dammann P, Wrede KH, Sure U, Jabbarli R (2024) Predictors and surgical outcome of hemorrhagic metastatic brain malignancies. J Neurooncol 169:165–173. https://doi.org/10.1007/s11060-024-04714-2
2. Pavlou M, Ambler G, Seaman SR, Guttmann O, Elliott P, King M, Omar RZ (2015) How to develop a more accurate risk prediction model when there are few events. BMJ (Clinical Res ed) 351:h3868. https://doi.org/10.1136/bmj.h3868
3. Riley RD, Ensor J, Snell KIE, Harrell FE Jr., Martin GP, Reitsma JB, Moons KGM, Collins G, van Smeden M (2020) Calculating the sample size required for developing a clinical prediction model. BMJ (Clinical Res ed) 368:m441. https://doi.org/10.1136/bmj.m441
4. Pate A, Riley RD, Collins GS, van Smeden M, Van Calster B, Ensor J, Martin GP (2023) Minimum sample size for developing a multivariable prediction model using multinomial logistic regression. Stat Methods Med Res 32:555–571. https://doi.org/10.1177/09622802231151220
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