Results 21 to 30 of about 4,065,331 (316)
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
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
doaj +1 more source
Bio-mechanical risk factors for uterine prolapse among women living in the hills of west Nepal: A case-control study. [PDF]
, 2020 OBJECTIVE:To investigate whether heavy load carrying, wearing a patuka, and body position at work are risk factors for uterine prolapse among Nepali women.
Bates, Michael N +5 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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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
doaj +1 more source
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
doaj +1 more source
Estimation of Gini Index within Pre-Specied Error Bound [PDF]
, 2015 Gini index is a widely used measure of economic inequality. This article develops a general theory for constructing a confidence interval for Gini index with a specified confidence coefficient and a specified width.
Chattopadhyay, Bhargab +1 more
core +3 more sources
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
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
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