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Bayesian Bootstrapped Correlation Coefficients [PDF]
Tutorials in Quantitative Methods for Psychology, 2022 We propose the Bayesian bootstrap (BB) as a generic, simple, and accessible method for sampling from the posterior distribution of various correlation coefficients that are commonly used in the social-behavioral sciences.
Rodriguez, Josue E., Williams, Donald R.
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Confidence intervals for the coefficient of variation and the difference between coefficients of variation of inverse-gamma distributions [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2022 The aim of this study is to establish new confidence intervals for the single coefficient of variation of an inversegamma distribution using Bayesian methods based on the Jeffreys, reference, and uniform priors and compare them with the Wald method. The
Theerapong Kaewprasert +2 more
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Confidence intervals: Concepts, fallacies, criticisms, solutions and beyond [PDF]
Network Biology, 2022 For a long time, confidence interval theory is the basis of statistics, and confidence interval has been regarded as an important content of statistical analysis.
WenJun Zhang
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Dilemma of t-tests: Retaining or discarding choice and solutions [PDF]
Computational Ecology and Software, 2022 The t-test theory has laid the foundation of modern statistics and it is one of the main contents of statistics. This theory can be found in all statistics textbooks and is at the core of almost all applied statistics courses.
WenJun Zhang
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Scientific Reports, 2022 Past studies indicate that men are more likely to smoke and be at higher risk of smoking-related conditions than women. Our research aimed, through meta-analysis, to assess the association between smoking and fracture risk in men. The following databases
Yingke Xu +3 more
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Bayesian estimation of rainfall dispersion in Thailand using gamma distribution with excess zeros [PDF]
PeerJ, 2022 The gamma distribution is commonly used to model environmental data. However, rainfall data often contain zero observations, which violates the assumption that all observations must be positive in a gamma distribution, and so a gamma model with excess ...
Wansiri Khooriphan +2 more
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Comparison of Bayesian and frequentist methods for prevalence estimation under misclassification
BMC Public Health, 2020 Background Various methods exist for statistical inference about a prevalence that consider misclassifications due to an imperfect diagnostic test.
Matthias Flor +4 more
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Collabra: Psychology, 2019 Based on the observation that frequentist confidence intervals and Bayesian credible intervals sometimes happen to have the same numerical boundaries (under very specific conditions), Albers et al.
Ladislas Nalborczyk +2 more
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BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data
Journal of Statistical Software, 2021 This article introduces the R package BayesCTDesign for two-arm randomized Bayesian trial design using historical control data when available, and simple two-arm randomized Bayesian trial design when historical control data is not available.
Barry S. Eggleston +3 more
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Credible Confidence: A Pragmatic View on the Frequentist vs Bayesian Debate
Collabra: Psychology, 2018 The debate between Bayesians and frequentist statisticians has been going on for decades. Whilst there are fundamental theoretical and philosophical differences between both schools of thought, we argue that in two most common situations the practical ...
Casper J. Albers +2 more
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