title: [About the certainty of study results. What p-value and confidence intervalls tell us on it].
abstract: In clinical trials data of individuals are collected, who are subjected to different treatments under controlled conditions. These studies investigate differences between interventions, and their results--provide the basis for clinical decision making in individuals or for policy decisions concerning entire patient populations. This requires reliable results. How confident a result of the study actually is, is illustrated by using various statistical parameters: p-value or confidence interval. What these parameters are and how to interpret them, is the objective of this article.
authors.forename: Judith
authors.initials: J
authors.lastname: Günther
authors.forename: Matthias
authors.initials: M
authors.lastname: Briel
authors.forename: Katja
authors.initials: K
authors.lastname: Suter
mesh_terms: D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D006801:Humans; D016032:Randomized Controlled Trials as Topic; D016896:Treatment Outcome