title: [Statistics in clinical and experimental medicine].
abstract: The paper presents a brief overview of statistical methods used in clinical and experimental medicine, ranging from basic indicators and parameters of descriptive statistics and hypotheses testing (parametric as well as non-parametric methods) to a description of the most frequently used multivariate methods in medical scientific publications, to logistic regression. The paper also describes Principle Component Analysis (PCA), which is one of the methods used to decrease a data dimensionality. The proper use of statistical methods is demonstrated on specific clinical cases.
authors.affiliation: Univerzita Karlova v Praze, lékařská fakulta, Ústav lékařské biofyziky a lékařské informatiky, Česká republika. jozef.rosina@lf3.cuni.cz
authors.forename: Jozef
authors.initials: J
authors.lastname: Rosina
authors.forename: Jiří
authors.initials: J
authors.lastname: Horák
authors.forename: Miluše
authors.initials: M
authors.lastname: Hendrichová
authors.forename: Karolína
authors.initials: K
authors.lastname: Krátká
authors.forename: Antonín
authors.initials: A
authors.lastname: Vrána
authors.forename: Jozef
authors.initials: J
authors.lastname: Živčák
mesh_terms: D000704:Analysis of Variance; D003627:Data Interpretation, Statistical; D016015:Logistic Models; D015999:Multivariate Analysis; D025341:Principal Component Analysis; D012044:Regression Analysis; D013223:Statistics as Topic; D018709:Statistics, Nonparametric