RSG works to identify accurate statistical representations for our clients’ needs. Turning raw data into decision making requires knowledgeable people, like our statisticians and analysts, who are skilled at reading and unpacking complex datasets. RSG develops structured experimental research designs, sampling plans, hypothesis testing, and parameter estimation through model fitting. We support both Frequentist (Classical) and Bayesian techniques across all of RSG’s core models and analyses. This is often coupled with our in-depth work in discrete choice modeling. We take our analyses one step further to communicate to our clients the key takeaways through the use of meaningful infographics and clear explanations that are easily incorporated into practical recommendations.
RSG’s data and software teams designed and created a large and scalable informatics platform for extracting, transferring, and loading a vehicle emissions monitoring dataRead More
Do the characteristics of a person’s community directly influence their health status and levels of physical activity? With funding from the National Institutes ofRead More
RSG partnered with a major mapping firm to develop a suite of proprietary models and technologies for their new line of transportation-based data products.Read More
In response to the National Highway Traffic Safety Administration (NHTSA) release of new Uniform Criteria for State Observational Surveys of Seatbelt Use, Washington TrafficRead More