Results 11 to 20 of about 2,097,293 (339)

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

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
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
doaj   +1 more source

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

Using the confidence interval confidently [PDF]

Journal of Thoracic Disease, 2017
Biomedical research is seldom done with entire populations but rather with samples drawn from a population. Although we work with samples, our goal is to describe and draw inferences regarding the underlying population. It is possible to use a sample statistic and estimates of error in the sample to get a fair idea of the population parameter, not as a
openaire   +2 more sources

Computation of confidence intervals for Poisson processes [PDF]

, 1999
We present an algorithm which allows a fast numerical computation of Feldman-Cousins confidence intervals for Poisson processes, even when the number of background events is relatively large.
Aguilar-Saavedra, J. A.
core   +2 more sources

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, Oztaysi Basar, Cevik Onar Sezi   +2 more
doaj   +1 more source

Confidence Intervals from Normalized Data: A correction to Cousineau (2005) [PDF]

Tutorials in Quantitative Methods for Psychology, 2008
Presenting confidence intervals around means is a common method of expressing uncertainty in data. Loftus and Masson (1994) describe confidence intervals for means in within-subjects designs. These confidence intervals are based on the ANOVA mean squared
Richard D. Morey
doaj  

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 qu’un candidat doit atteindre afin d’être recruté. Or, cette norme est statistique, c’est-à-dire calculée sur les mesures d’un simple échantillon de la population ...
Louis Laurencelle
doaj  

Confidence intervals for test information and relative efficiency [PDF]

, 1984
In latent theory the measurement properties of a mental test can be expressed in the test information function. The relative merits of two tests for the same latent trait can be described by the relative efficiency function, i.e.
Oosterloo, Sebie
core   +4 more sources