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Understanding 2022 Under Five Mortality Using Multilinear Bayesian Framework

Overview

This repo contains code, data, and an analysis of the relationship between food production, DPT vaccination, health expenses, and child mortality rates in the year 2022 worldwide. It was created by Junbo Li. We employed data available on the World Bank open database and used a multi-linear Bayesian model to analyze it.

File Structure

The repo is structured as follows:

  • data/00-simulated_data contains the simulated data that mimics the data we will use.
  • data/01-raw_data contains the raw data as obtained from the World Bank open-data platform.
  • data/02-analysis_data contains the cleaned dataset that was constructed for building our model.
  • model contains fitted models.
  • other contains details about LLM chat interactions and sketches.
  • paper contains the files used to generate the paper, including the Quarto document and reference bibliography file, as well as the PDF of the paper.
  • scripts contains the R scripts used to simulate, download, and clean data; tests to test the validity of the data; and scripts to generate and evaluate our model.

Model

View the Model Card

Statement on LLM usage

The R code in the scripts and paper folders was written with the help of Chat-GPT4. It is used to generate code and debugging. Also, Chat-GPT4 is used to write the paper, including conducting data analysis, generating references, and improving grammar and logical errors. The complete chat history is in other/llm_usage/usage.txt.

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