Results 41 to 50 of about 3,328,774 (379)
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
An extension of within-subject confidence intervals to models with crossed random effects [PDF]
Tutorials 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
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
A calculator for confidence intervals [PDF]
Computer Physics Communications, 2002 A calculator program has been written to give confidence intervals on branching ratios for rare decay modes (or similar quantities) calculated from the number of events observed, the acceptance factor, the background estimate and the associated errors.
openaire +4 more sources
Fusing photovoltaic data for improved confidence intervals
AIMS Energy, 2017 Characterizing and testing photovoltaic modules requires carefully made measurements on important variables such as the power output under standard conditions.
Ansgar Steland
doaj +1 more source
Calculating unreported confidence intervals for paired data
BMC Medical Research Methodology, 2011 Background Confidence intervals (or associated standard errors) facilitate assessment of the practical importance of the findings of a health study, and their incorporation into a meta-analysis.
Fagerland Morten W, Hirji Karim F
doaj +1 more source
Locally correct confidence intervals for a binomial proportion: A new criteria for an interval estimator [PDF]
arXiv, 2021 Well-recommended methods of forming `confidence intervals' for a binomial proportion give interval estimates that do not actually meet the definition of a confidence interval, in that their coverages are sometimes lower than the nominal confidence level.
arxiv
Coverage-adjusted confidence intervals for a binomial proportion [PDF]
Scandinavian Journal of Statistics, 41, 291-300 (2014), 2012 We consider the classic problem of interval estimation of a proportion $p$ based on binomial sampling. The "exact" Clopper-Pearson confidence interval for $p$ is known to be unnecessarily conservative. We propose coverage-adjustments of the Clopper-Pearson interval using prior and posterior distributions of $p$.
arxiv +1 more source
Molecular Oncology, EarlyView.The LEXOVE prospective study evaluated plasma cell‐free extracellular vesicle (cfEV) dynamics using Bradford assay and dynamic light scattering in metastatic non‐small cell lung cancer patients undergoing first‐line treatments, correlating a ∆cfEV < 20% with improved median progression‐free survival in responders versus non‐responders.
Valerio Gristina +17 more
wiley +1 more source
Confidence Intervals: From tests of statistical significance to confidence intervals, range hypotheses and substantial effects [PDF]
Tutorials 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