Data extraction and analysis

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Research Design and Analysis scientists and engineers have extensive experience with data analysis, programming and data visualization. We can help with:

  • Custom web and software development
    • Programmatic validation of data sets and automated scoring
    • Data dashboards to present data as it is collected
  • Assistance with REDCap data reports to be used for project reports, data cleaning, or analysis
  • Conduct cost and cost-effectiveness analysis
  • Conduct analyses in SPSS, SAS, MPlus and R fitting appropriate models to your data
  • Programming and visualization using R, Python, Tableau, Shiny and other technologies
  • Multilevel and longitudinal analysis
  • Single-subject and small sample techniques
  • Structural equation modeling
  • Machine learning techniques such as random forest