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A reproduced research on HIV/AIDS mortality in order to investigate how the model covariates poverty, income inequality and spatiotemporal effects influence the model fit.

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Giant316/bayesianinference_HIVmortality

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Modeling HIV Mortality with a Spatiotemporal Bayesian Approach

explaining and extending the approach of Aktekin and Musal (2015)

Prerequisites

  • Rstudio/ R programming compiler
  • WinBUGS

How to use

  • To see how covariates (inequality measures, poverty and unemployment) are calculated:
    • retrieve files in "input_files" and run sourcecode.R
    • install all packages used in the R code (if necessary)
  • To analyze the model script & To do the modelling in WinBUGS:
    • retrieve the files in "WinBUGS models"
  • To view the MCMC diagnostics HTML plots
    • retrieve the files in "HTML_Diagnostics"

Authors

  • Jia Yan Ng
  • Lena Schwertmann
  • Thummaporn Nimpanomprasert

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A reproduced research on HIV/AIDS mortality in order to investigate how the model covariates poverty, income inequality and spatiotemporal effects influence the model fit.

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