Results 61 to 70 of about 10,336,836 (232)
The reporting of statistical significance in scientific journals: A reflexion
Scientific journals in most empirical disciplines have regulations about how authors should report the precision of their estimates of model parameters and other model elements.
Jan M. Hoem
doaj
For a proper use of frequentist inferential statistics in public health
As widely noted in the literature and by international bodies such as the American Statistical Association, severe misinterpretations of P-values, confidence intervals, and statistical significance are sadly common in public health.
Alessandro Rovetta +2 more
doaj +1 more source
Statistical significance tests. [PDF]
Abstract A broad account is given of statistical significance tests outlining their role and their limitations in the careful analysis of data.
openaire +2 more sources
Statistical significance tests.
Statistical significance tests.
Mariusz Oszust (3163356)
core +1 more source
A Frequent Misuse of Significance Tests [PDF]
Economists sometimes interpret the failure of a significance test to disconfirm a hypothesis as evidence that this hypothesis is valid. Six examples of this are cited from recent journals.
Thomas Mayer
core +2 more sources
Introduction to the theory of statistics. Введение в теорию стaтистики
This article discusses the history of statistics. Destinations such as mathematical and descriptive. The need for statistics as a science. It describes the three basic values of statistics.
Zh. K. Kupenova +2 more
doaj
Effect size measures are used to quantify treatment effects or associations between variables. Such measures, of which >70 have been described in the literature, include unstandardized and standardized differences in means, risk differences, risk ratios,
P. Schober, S. M. Bossers, L. Schwarte
semanticscholar +1 more source
Retire Statistical Significance Survey
Petitions have a long history of being used for political, social, ethical and injustice issues; however, it is unclear how/whether they should be implemented in scientific argumentation. Recently, an extremely influential commentary published in Nature (
Tom E Hardwicke, John Ioannidis
core
The statistical significance filter leads to overoptimistic expectations of replicability
It is well-known in statistics (e.g., Gelman & Carlin, 2014) that treating a result as publishable just because the p-value is less than 0.05 leads to overoptimistic expectations of replicability.
S. Vasishth +3 more
semanticscholar +1 more source
The Cult of Statistical Significance [PDF]
This article takes issue with a recent book by Ziliak and McCloskey (2008) of the same title. Ziliak and McCloskey argue that statistical significance testing is a barrier rather than a booster for empirical research in many fields and should therefore ...
Walter Kraemer
core

