@article{MTMT:3375975,
	title = {Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasets},
	url = {https://m2.mtmt.hu/api/publication/3375975},
	author = {Nagy, Ádám and Lánczky, András and Menyhart, Otilia and Győrffy, Balázs},
	doi = {10.1038/s41598-018-27521-y},
	journal-iso = {SCI REP},
	journal = {SCIENTIFIC REPORTS},
	volume = {8},
	unique-id = {3375975},
	issn = {2045-2322},
	year = {2018},
	eissn = {2045-2322},
	orcid-numbers = {Nagy, Ádám/0000-0002-7979-7184; Menyhart, Otilia/0000-0003-4129-4589; Győrffy, Balázs/0000-0002-5772-3766}
}

@article{MTMT:31229700,
	title = {Regorafenib for patients with hepatocellular carcinoma who progressed on sorafenib treatment (RESORCE): a randomised, double-blind, placebo-controlled, phase 3 trial},
	url = {https://m2.mtmt.hu/api/publication/31229700},
	author = {Bruix, Jordi and Qin, Shukui and Merle, Philippe and Granito, Alessandro and Huang, Yi-Hsiang and Bodoky, György and Pracht, Marc and Yokosuka, Osamu and Rosmorduc, Olivier and Breder, Valeriy and Gerolami, Rene and Masi, Gianluca and Ross, Paul J. and Song, Tianqiang and Bronowicki, Jean-Pierre and Ollivier-Hourmand, Isabelle and Kudo, Masatoshi and Cheng, Ann-Lii and Llovet, Josep M. and Finn, Richard S. and LeBerre, Marie-Aude and Baumhauer, Annette and Meinhardt, Gerold and Han, Guohong},
	doi = {10.1016/S0140-6736(16)32453-9},
	journal-iso = {LANCET},
	journal = {LANCET},
	volume = {389},
	unique-id = {31229700},
	issn = {0140-6736},
	year = {2017},
	eissn = {1474-547X},
	pages = {56-66},
	orcid-numbers = {Bodoky, György/0000-0002-5659-2020}
}

@article{MTMT:1880701,
	title = {A "multiple testing" problémája és a genomiális kísérletekre alkalmazott megoldások},
	url = {https://m2.mtmt.hu/api/publication/1880701},
	author = {Győrffy, Balázs and Gyorffy, A and Tulassay, Zsolt},
	journal-iso = {ORV HETIL},
	journal = {ORVOSI HETILAP},
	volume = {146},
	unique-id = {1880701},
	issn = {0030-6002},
	abstract = {The problem of multiple testing and its solutions for genome-wide studies. Even if there is no real change, the traditional p = 0.05 can cause 5% of the investigated tests being reported significant. Multiple testing corrections have been developed to solve this problem. Here the authors describe the one-step (Bonferroni), multi-step (step-down and step-up) and graphical methods. However, sometimes a correction for multiple testing creates more problems, than it solves: the universal null hypothesis is of little interest, the exact number of investigations to be adjusted for can not determined and the probability of type II error increases. For these reasons the authors suggest not to perform multiple testing corrections routinely. The calculation of the false discovery rate is a new method for genome-wide studies. Here the p value is substituted by the q value, which also shows the level of significance. The q value belonging to a measurement is the proportion of false positive measurements when we accept it as significant. The authors propose using the q value instead of the p value in genome-wide studies.},
	keywords = {Humans; *Data Interpretation, Statistical; In Situ Hybridization; Confidence Intervals; False Positive Reactions; *Models, Statistical; Research Design/*standards; *Genomics},
	year = {2005},
	eissn = {1788-6120},
	pages = {559-563},
	orcid-numbers = {Győrffy, Balázs/0000-0002-5772-3766; Tulassay, Zsolt/0000-0003-2452-6640}
}