Results 21 to 30 of about 2,169,451 (280)
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
The Shortest Clopper–Pearson Randomized Confidence Interval for Binomial Probability
Revstat 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
Predictive physiological anticipatory activity preceding seemingly unpredictable stimuli: An update of Mossbridge et al\u2019s meta-analysis [PDF]
, 2018 Background: This is an update of the Mossbridge et al\u2019s meta-analysis related to the physiological anticipation preceding seemingly unpredictable stimuli which overall effect size was 0.21; 95% Confidence Intervals: 0.13 - 0.29 Methods: Nineteen new
Duggan, Michael, Tressoldi, Patrizio
core +2 more sources
Generating confidence intervals on biological networks
BMC 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
Correlation-adjusted standard errors and confidence intervals for within-subject designs: A simple multiplicative approach [PDF]
Tutorials 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
Frequentist confidence intervals for orbits
, 2014 The problem of efficiently computing the orbital elements of a visual binary while still deriving confidence intervals with frequentist properties is treated. When formulated in terms of the Thiele-Innes elements, the known distribution of probability in
Lucy, L. B.
core +1 more source
Fletcher-Turek Model Averaged Profile Likelihood Confidence Intervals [PDF]
, 2014 We evaluate the model averaged profile likelihood confidence intervals proposed by Fletcher and Turek (2011) in a simple situation in which there are two linear regression models over which we average. We obtain exact expressions for the coverage and the
Abeysekera, Waruni +2 more
core +3 more sources
Calculating confidence intervals for impact numbers
BMC 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
P values, confidence intervals, or confidence levels for hypotheses?
, 2014 Null hypothesis significance tests and p values are widely used despite very strong arguments against their use in many contexts. Confidence intervals are often recommended as an alternative, but these do not achieve the objective of assessing the ...
Wood, Michael
core +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