Skills involved: Problem formulation, Searching the literature with Scopus and Pubmed, Screening with EndNote, Data extraction with Excel, Data-analysis in R, implementing Meta-Regression model, Reporting with Rmarkdown

Skills involved: Data collection from open data sources, Importing to Rstudio with its libraries, Data quality check and cleaning, Exploring distributions and tests like T-test, Plotting and data visualization, Logistic regression implementation, Grouping, and final comment