Modelling of South African Hypertension: Comparative Analysis of the Classical and Bayesian Quantile Regression Approaches.
Hypertension has become a major public health challenge and a crucial area of research due to its high prevalence across the world including the sub-Saharan Africa. No previous study in South Africa has investigated the impact of blood pressure risk factors on different specific conditional quantile...
| Publicado en: | Inquiry (00469580) pp. 1 - 10 |
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| Autores principales: | , , , |
| Formato: | Artículo |
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Sage Publications Inc.
4/4/2022
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=156123316&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 156123316 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00469580 INQ jtl: Inquiry (00469580) issn: 00469580 maglogo: Y pubinfo: dt: 4/4/2022 pid: 344 pub: Sage Publications Inc. artinfo: ui: 156123316 10.1177/00469580221082356 ppf: 1 ppct: 9 formats: tig: atl: Modelling of South African Hypertension: Comparative Analysis of the Classical and Bayesian Quantile Regression Approaches. aug: au: Kuhudzai, Anesu Gelfand Van Hal, Guido Van Dongen, Stefan Hoque, Muhammad affil: Department of Social Epidemiology and Healthy Policy, 26660 University of Antwerp, Belgium Statistical Consultation Services, University of Johannesburg, South Africa Department of Evolutionary Ecology and Biology, 26660 University of Antwerp, Belgium su: Hypertension risk factors Hypertension Confidence intervals Systolic blood pressure Age distribution Regression analysis Retrospective studies Race Risk assessment Comparative studies Sex distribution Descriptive statistics Exercise Mental depression Employment Time series analysis Statistical models Cluster analysis (Statistics) Statistical sampling Body mass index Smoking Data analysis software Algorithms South Africa sug: subj: South Africa Hypertension risk factors Hypertension Confidence intervals Systolic blood pressure Age distribution Regression analysis Retrospective studies Race Risk assessment Comparative studies Sex distribution Descriptive statistics Exercise Mental depression Employment Time series analysis Statistical models Cluster analysis (Statistics) Statistical sampling Body mass index Smoking Data analysis software Algorithms keyword: Bayesian quantile regression classical quantile regression confidence and credible intervals hypertension ab: Hypertension has become a major public health challenge and a crucial area of research due to its high prevalence across the world including the sub-Saharan Africa. No previous study in South Africa has investigated the impact of blood pressure risk factors on different specific conditional quantile functions of systolic and diastolic blood pressure using Bayesian quantile regression. Therefore, this study presents a comparative analysis of the classical and Bayesian inference techniques to quantile regression. Both classical and Bayesian inference techniques were demonstrated on a sample of secondary data obtained from South African National Income Dynamics Study (2017–2018). Age, BMI, gender male, cigarette consumption and exercises presented statistically significant associations with both SBP and DBP across all the upper quantiles (τ ∈ { 0.75 , 0.95 }) . The white noise phenomenon was observed on the diagnostic tests of convergence used in the study. Results suggested that the Bayesian approach to quantile regression reveals more precise estimates than the frequentist approach due to narrower width of the 95% credible intervals than the width of the 95% confidence intervals. It is therefore suggested that Bayesian approach to quantile regression modelling to be used to estimate hypertension. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y dt: @attributes: year: 2022 holdings: @attributes: islocal: N |
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