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Confidence interval estimation for vaccine efficacy against COVID-19 [PDF]
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 interval methods for antimicrobial resistance surveillance data [PDF]
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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Admissibility of the usual confidence interval in linear regression [PDF]
, 2010 Consider a linear regression model with independent and identically normally distributed random errors. Suppose that the parameter of interest is a specified linear combination of the regression parameters. We prove that the usual confidence interval for
Paul Kabaila +2 more
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Using the confidence interval confidently. [PDF]
J Thorac Dis, 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
Hazra A.
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Confidence with confidence intervals
Indian Journal of Ophthalmology, 1997 When considering the results of a study that reports one treatment to be better than another, what the practicing ophthalmologist really wants to know is the magnitude of the difference between treatment groups. If this difference is large enough, we may
Thomas Ravi +3 more
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Measurement of dispersion of PM 2.5 in Thailand using confidence intervals for the coefficient of variation of an inverse Gaussian distribution [PDF]
PeerJ, 2022 Air pollution is a growing concern for the general public in Thailand with PM 2.5 (particulate matter ≤ 2.5 µm) having the greatest impact on health. The inverse Gaussian (IG) distribution is used for examining the frequency of high concentration events ...
Wasana Chankham +2 more
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Effect of confidence interval construction on judgment accuracy [PDF]
Judgment and Decision Making, 2020 Three experiments (N = 550) examined the effect of an interval construction elicitation method used in several expert elicitation studies on judgment accuracy.
David R. Mandel +3 more
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Modified Clopper-Pearson Confidence Interval for Binomial Proportion [PDF]
Journal of Statistical Theory and Applications (JSTA), 2014 We introduce expected coverage probability as a measure for constructing confidence intervals for the binomial proportion, p. We propose a model based confidence interval for p using the expected coverage probabilities of the Clopper-Pearson interval ...
Desale Habtzghi +2 more
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Psychiatry and Behavioral Sciences, 2015 Confidence interval is a measure that provides to evaluate the difference between the means or proportions of compared groups is statistically significant.
Selim Kılıc
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