title: A novel approach to quantify random error explicitly in epidemiological studies.
abstract: The most frequently used methods for handling random error are largely misunderstood or misused by researchers. We propose a simple approach to quantify the amount of random error which does not require solid background in statistics for its proper interpretation. This method may help researchers refrain from oversimplistic interpretations relying on statistical significance.
authors.affiliation: Department of Public Health, Faculty of Medicine, Norwegian University of Science and Technology, 7489, Trondheim, Norway. imre.janszky@ntnu.no
authors.forename: Imre
authors.initials: I
authors.lastname: Janszky
authors.forename: Johan Håkon
authors.initials: JH
authors.lastname: Bjørngaard
authors.forename: Pål
authors.initials: P
authors.lastname: Romundstad
authors.forename: Lars
authors.initials: L
authors.lastname: Vatten
mesh_terms: D016001:Confidence Intervals; D003627:Data Interpretation, Statistical; D004812:Epidemiologic Methods; D006801:Humans; D016015:Logistic Models; D008792:Metric System; D015983:Selection Bias