[Methods of exact nonparametric inference for non-typical distributions of experimental data].

In medical research we frequently find data sets with specific structure such as small data sets, unbalanced, sparse or heavily tied. The peculiar properties of those sets influence the p-value which quantity is used in decision making process. Four examples of experimental data, for which estimation of asymptotic p-value leads to erroneous decision, are presented.