Results 21 to 30 of about 3,825,660 (342)
Confidence interval how sure you are?
Journal of Applied Hematology, 2014 Previously, researchers were reported P value as a basis for conclusion, but in this era of evidence-based medicine we are interested now about the precision of the results obtained that allow us to make right decisions in health care practice.
Areej Abdul Ghani Al Fattani
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A New Exact Confidence Interval for the Difference of Two Binomial Proportions
Revstat Statistical Journal, 2020 We consider interval estimation of the difference between two binomial proportions. Several methds of constructing such an interval are known. Unfortunately those confidence intervals have poor coverage probability: it is significantly smaller than the ...
Wojciech Zieliński
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A second-order efficient empirical Bayes confidence interval [PDF]
, 2014 We introduce a new adjusted residual maximum likelihood method (REML) in the context of producing an empirical Bayes (EB) confidence interval for a normal mean, a problem of great interest in different small area applications.
M. Yoshimori, P. Lahiri
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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
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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
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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
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Journal of Consulting and Clinical Psychology, 2015 OBJECTIVE Multilevel and latent growth models are frequently used interchangeably to examine differences between groups in trajectories of outcomes from controlled clinical trials.
A. Feingold
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Comparison of confidence interval methods for an intra-class correlation coefficient (ICC)
BMC Medical Research Methodology, 2014 BackgroundThe intraclass correlation coefficient (ICC) is widely used in biomedical research to assess the reproducibility of measurements between raters, labs, technicians, or devices.
semanticscholar +1 more source
Fixed-width confidence interval for a lognormal mean
International Journal of Mathematics and Mathematical Sciences, 2002 We consider the problem of constructing a fixed-width confidence interval for a lognormal mean. We give a Birnbaum and Healy type two-stage procedure to construct such a confidence interval. We discuss some asymptotic properties of the procedure. A three-
Makoto Aoshima, Zakkula Govindarajulu
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Journal of Probability and Statistics, 2015 Model averaging is a technique used to account for model uncertainty, in both Bayesian and frequentist multimodel inferences. In this paper, we compare the performance of model-averaged Bayesian credible intervals and frequentist confidence intervals ...
Daniel Turek
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