[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.
Moczko
Jerzy A
JA
Katedra i Zakład Informatyki i Statystyki, Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu. jmoczko@amp.edu.pl
D000465:Algorithms; D035843:Biomedical Research; D003627:Data Interpretation, Statistical; D006801:Humans; D011336:Probability; D018709:Statistics, Nonparametric