Determination of the risk factors for breast cancer survival using the Bayesian method, Yazd, Iran [PDF]
Advanced Biomedical Research, 2021 Background: There are numerous sophisticated studies which have investigated risk factors of breast cancer (BC). The purpose of this paper is to use benefits of Bayesian modeling to involve such prior information in determining factors affecting the ...
Vida Pahlevani +3 more
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The Effect of Age-Threshold on COVID-19 Patients Cure Rate: A Historical Cohort Study [PDF]
Journal of Kerman University of Medical Sciences, 2023 Background: The COVID-19 pandemic had caused unexpected strain on healthcare systems in most countries in 2020. Although different survival models were used in clinical decision-making for COVID-19 patients, the effect of different risk factors in ...
Yaser Ghelmani +2 more
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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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SSRN Electronic Journal, 2011 Chapter written for the Handbook of Research Methods and Applications on Empirical Macroeconomics, edited by Nigar Hashimzade and Michael Thornton, forth- coming in 2012 (Edward Elgar Publishing). This chapter presents an introductory review of Bayesian methods for research in empirical macroeconomics.
Bauwens, L, Korobilis, D
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A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION
Barekeng, 2023 Binary logistic regression is utilized in research to understand the relationship between multiple independent variables and a binary response variable. In logistic regression modelling, parameter estimation is regarded as a vital stage.
Devi Azarina Manzilir Rohmah +2 more
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Optimizing dose-schedule regimens with bayesian adaptive designs: opportunities and challenges
Frontiers in Pharmacology, 2023 Due to the small sample sizes in early-phase clinical trials, the toxicity and efficacy profiles of the dose-schedule regimens determined for subsequent trials may not be well established.
Xin Chen +4 more
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One-stage Bayesian experimental design optimization for measuring soil-water characteristic curve
Yantu gongcheng xuebao, 2023 The direct measurements of soil-water characteristic curve (SWCC) are often costly and time-consuming. Therefore, only a limited number of test data can be obtained from a single SWCC test, based on which the estimated SWCC inevitably produces ...
LI Dianqing 1, 2, DING Shaolin 1, 2, CAO Zijun 1, 2, TAO Rui 3
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Iterative tomography of pipes during operation
Весці Нацыянальнай акадэміі навук Беларусі: Серыя фізіка-тэхнічных навук, 2021 The pipe wall thickness was estimated based on three-dimensional images of the pipe recovered from several X-ray projections, which were made in a limited angle of view.
S. A. Zolotarev +2 more
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Studies of nuclear β-decay half-lives with Bayesian neural network approach
He jishu, 2023 Backgroundβ-decay half-life is one of the fundamental physical properties of unstable nuclei and plays an important role in nuclear physics and astrophysics.PurposeThis study aimed to provide accurate nuclear β-decay half-life predictions and reasonable ...
LI Weifeng, ZHANG Xiaoyan, NIU Zhongming
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Inter-Regional Inflation Differential as a Consequence of Heterogeneity of the Russian Economic Space [PDF]
Экономика региона, 2020 The need for the sustainable spatial development enables an analysis of the causes of the regional differentiation of consumer price growth rates for further development of relevant policies at the federal and regional levels.
Leonid Aleksandrovich Serkov
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