His research and collaborative experiences include the analysis of censored (survival) data, experimental designs, and power and sample size calculations. Dr. Mahnken also has significant collaborative experience in analyzing data from observational studies, including registry and health claims data that require bias adjustments such as propensity score matching. His role in projects frequently involves leading statistical programmers, data managers/informatics personnel, and other statisticians.