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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 +3 more sources
A note on the estimation of confidence intervals for cost-effectiveness when costs and effects are censored [PDF]
, 2002 <i>Background</i>. The relation between methodological advances in estimation of confidence intervals (CIs) for incremental cost-effectiveness ratios (ICER) and estimation of cost effectiveness in the presence of censoring has not been ...
Briggs, AH +5 more
core +1 more source
Confidence Intervals for Seroprevalence
Statistical Science, 2022 This paper concerns the construction of confidence intervals in standard seroprevalence surveys. In particular, we discuss methods for constructing confidence intervals for the proportion of individuals in a population infected with a disease using a sample of antibody test results and measurements of the test's false positive and false negative rates.
DiCiccio, Thomas J. +3 more
openaire +2 more sources
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
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
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
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
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
Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine +17 more
wiley +1 more source