Tom Goode is a statistical analyst at the RAND Corporation. He supports a broad variety of homeland and national security projects by applying a wide variety of statistical methods including various regression analyses, survival analysis, hierarchical and mixture models, time series analysis, and a number of machine learning techniques. Goode is also familiar with survey development and experimental methodology, approaches for missing or duplicate data, and statistical visualization. He primarily uses R and Python, but is also experienced with SAS, Stata, and SQL in Windows and Linux environments.
Goode began contributing to research in the fields of prehospital medicine and emergency medical operations while earning a bachelor's degree in statistics and master's degree in statistical practice at Carnegie Mellon University. He continues to conduct and advise research at the intersection of statistics and emergency medicine in addition to volunteering as an emergency medical technician in the Pittsburgh area.
- Improving Partner Nation Support for Medical Operations in Contested Environments
- Medicare Ambulance Services Special Analysis
- Immigration Data Integration Initiative Study
- Analysis in Support of the Development of a Counter UAS Implementation Framework