Results 11 to 20 of about 3,518,988 (354)
Causal inference by using invariant prediction: identification and confidence intervals [PDF]
, 2015 What is the difference between a prediction that is made with a causal model and that with a non‐causal model? Suppose that we intervene on the predictor variables or change the whole environment.
J. Peters +2 more
semanticscholar +1 more source
Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations
European Journal of Epidemiology, 2016 Misinterpretation and abuse of statistical tests, confidence intervals, and statistical power have been decried for decades, yet remain rampant. A key problem is that there are no interpretations of these concepts that are at once simple, intuitive ...
S. Greenland +6 more
semanticscholar +1 more source
Multivariate Confidence Intervals [PDF]
, 2017 Confidence intervals are a popular way to visualize and analyze data distributions. Unlike p-values, they can convey information both about statistical significance as well as effect size. However, very little work exists on applying confidence intervals to multivariate data.
Korpela, Jussi +4 more
openaire +2 more sources
Significant results: statistical or clinical? [PDF]
Korean Journal of Anesthesiology, 2016 The null hypothesis significance test method is popular in biological and medical research. Many researchers have used this method for their research without exact knowledge, though it has both merits and shortcomings. Readers will know its shortcomings,
Sangil Park
doaj +1 more source
Confidence Intervals of COVID-19 Vaccine Efficacy Rates
Numeracy, 2021 This tutorial uses publicly available data from drug makers and the Food and Drug Administration to guide learners to estimate the confidence intervals of COVID-19 vaccine efficacy rates with a Bayesian framework.
Frank Wang
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Interval-Valued Intuitionistic Fuzzy Confidence Intervals
Journal of Intelligent Systems, 2019 Confidence intervals are useful tools for statistical decision-making purposes. In case of incomplete and vague data, fuzzy confidence intervals can be used for decision making under uncertainty.
Kahraman Cengiz +2 more
doaj +1 more source
Generalized Confidence Intervals for Zero-Inflated Pareto Distribution
Mathematics, 2021 This paper considers interval estimations for the mean of Pareto distribution with excess zeros. Three approaches for interval estimation are proposed based on fiducial generalized pivotal quantities (FGPQs), respectively.
Xiao Wang, Xinmin Li
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A review of effect sizes and their confidence intervals, Part I: The Cohen's d family
The Quantitative Methods for Psychology, 2018 The results of the interval estimation method popularized by Steiger and Fouladi (1997), herein called the pivoting method1, were displayed erroneously in Appendix C of our recent paper on effect sizes and corresponding confidence intervals (Goulet ...
Jean‐Christophe Goulet‐Pelletier +1 more
semanticscholar +1 more source
L'établissement d'une norme de qualification sûre dans un contexte non paramétrique [PDF]
Tutorials in Quantitative Methods for Psychology, 2008 La sélection de personnel pour un emploi se base souvent sur une norme psychométrique quun candidat doit atteindre afin dêtre recruté. Or, cette norme est statistique, cest-à-dire calculée sur les mesures dun simple échantillon de la population ...
Louis Laurencelle
doaj
Improved Confidence Intervals for the Youden Index. [PDF]
PLoS ONE, 2015 The Youden Index is a summary measurement of the receiver operating characteristic (ROC) curve for the accuracy of a diagnostic test with ordinal or continuous endpoints.
Guogen Shan
doaj +1 more source