Results 11 to 20 of about 1,083,058 (217)

L'établissement d'une norme de qualification sûre dans un contexte non paramétrique [PDF]

open access: yesTutorials 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  

A note on confidence intervals for deblurred images [PDF]

open access: yesOpuscula Mathematica, 2020
We consider pointwise asymptotic confidence intervals for images that are blurred and observed in additive white noise. This amounts to solving a stochastic inverse problem with a convolution operator.
Michał Biel, Zbigniew Szkutnik
doaj   +1 more source

Generating confidence intervals on biological networks

open access: yesBMC Bioinformatics, 2007
Background In the analysis of networks we frequently require the statistical significance of some network statistic, such as measures of similarity for the properties of interacting nodes. The structure of the network may introduce dependencies among the
Stumpf Michael PH, Thorne Thomas
doaj   +1 more source

Improved Confidence Intervals for the Youden Index. [PDF]

open access: yesPLoS 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

The Shortest Clopper–Pearson Randomized Confidence Interval for Binomial Probability

open access: yesRevstat Statistical Journal, 2017
Zieli´nski (2010) showed the existence of the shortest Clopper–Pearson confidence interval for binomial probability. The method of obtaining such an interval was presented as well. Unfortunately, the confidence interval obtained has one disadvantage: it
Wojciech Zieliński
doaj   +1 more source

Correlation-adjusted standard errors and confidence intervals for within-subject designs: A simple multiplicative approach [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2019
In within-subject designs, the multiple scores of a given participant are correlated. This correlation implies that the observed variance can be partitioned into between-subject variance and between-measure variance.
Cousineau, Denis
doaj   +1 more source

Calculating confidence intervals for impact numbers

open access: yesBMC Medical Research Methodology, 2006
Background Standard effect measures such as risk difference and attributable risk are frequently used in epidemiological studies and public health research to describe the effect of exposures.
Bender Ralf   +3 more
doaj   +1 more source

An extension of within-subject confidence intervals to models with crossed random effects [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2017
A common problem in displaying within-subject data is that of how to show confidence intervals that accurately reflect the pattern of significant differences between conditions. The Cousineau-Morey method \parencite {c05,m08} is a widely used solution to
Politzer-Ahles, Stephen
doaj   +1 more source

The Combined Effect of Obesity and Contraceptive Use on Pulmonary Embolism in Adolescent Females Residing in the United States

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Background Combined oral contraceptive (COC) use in obese adult women dramatically increases the relative risk of developing a pulmonary embolism (PE). The risk of a PE in obese adolescent females taking contraceptives is currently unknown. The purpose of this investigation was to determine the effect of body mass index (BMI) and contraceptive
John Puetz, Joanne Salas
wiley   +1 more source

Confidence Intervals: From tests of statistical significance to confidence intervals, range hypotheses and substantial effects [PDF]

open access: yesTutorials in Quantitative Methods for Psychology, 2006
For the last 50 years of research in quantitative social sciences, the empirical evaluation of scientific hypotheses has been based on the rejection or not of the null hypothesis.
Dominic Beaulieu-Prévost
doaj  

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