Taylor Lewis is an expert statistician in RTI’s Division of Statistical and Data Sciences, currently working as a research statistician for the National Incident-Based Reporting System (NIBRS). This project, sponsored by the Bureau of Justice Statistics (BJS), develops weights at the law enforcement agency level with the goal of producing representative estimates and characteristics of crime. Dr. Lewis also serves as the survey statistician for the National Recreational Boating Safety Survey (NRBSS) and the lead statistician for the State Library Administrative Agency (SLAA) Survey.
Dr. Lewis is an expert in designing large, complex, multipurpose sample surveys, generating synthetic data, and variance estimation for complex statistical quantities derived from survey data. He teaches graduate-level courses on survey sample design and analysis in the Washington, DC area.
Prior to RTI, Dr. Lewis served as the lead statistician for the Federal Employee Viewpoint Survey (FEVS), administered annually by the U.S. Office of Personnel Management to over 1 million full- or part-time, nonseasonal, civilian employees of the U.S. federal government. In this role he oversaw sample design, weighting, and disclosure avoidance techniques applied to public release data files of survey microdata. Dr. Lewis’ research has been published in leading journals, such as the Journal of Official Statistics, Survey Research methods, and Field Methods.