Tom Goode is a statistical analyst at the RAND Corporation. Broadly interested in public safety and security, Goode has experience applying a wide variety of statistical methods including various regression analyses, survival analysis, hierarchical and mixture models, and time series analysis with neural network integration. He is also familiar with survey development and experimental methodology, approaches for missing or duplicate data, and statistical visualization. He is most comfortable using R but is also experienced with SAS, Python, and SQL.
While earning a bachelor's degree in statistics and master's degree in statistical practice at Carnegie Mellon University, he contributed to research in the fields of prehospital medicine and emergency medical operations.