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Sequential fixed width confidence intervals [PDF]
, 2000 We consider the problem of constructing confidence intervals of fixed width d and confidence level γ for the success probability p in Bernoulli trials.
Asparouhov, Tihomir Zlatev
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Fast estimation and choice of confidence interval methods for step regression [PDF]
, 2022 In this paper we propose a new fast grid search algorithm for finding the least square estimators of a step regression model. This algorithm makes it practical to compute resampling-based confidence intervals for step regression models. We introduce five
Fong, Youyi +2 more
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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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Confidence interval estimation for vaccine efficacy against COVID-19
Frontiers in Public Health, 2022 This article focuses on the construction of a confidence interval for vaccine efficacy against contagious coronavirus disease-2019 (COVID-19) in a fixed number of events design.
Qinyu Wei, Peng Wang, Ping Yin
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Confidence Intervals for Stochastic Arithmetic [PDF]
ACM Transactions on Mathematical Software, 2021 Quantifying errors and losses due to the use of Floating-point (FP) calculations in industrial scientific computing codes is an important part of the Verification, Validation, and Uncertainty Quantification process. Stochastic Arithmetic is one way to model and estimate FP losses of accuracy, which scales well to large, industrial codes.
Sohier, Devan +5 more
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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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Confidence interval methods for antimicrobial resistance surveillance data
Antimicrobial Resistance and Infection Control, 2021 Background Antimicrobial resistance (AMR) is one of the greatest global health challenges today, but burden assessment is hindered by uncertainty of AMR prevalence estimates.
Erta Kalanxhi +3 more
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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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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
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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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