Measuring Treatment Effects In the Single Subject Design
Persons are often repeatedly measured when receiving a treatment, and the measurements are serially correlated (e.g., extensive longitudinal measurements). This complicates the measurement of change over time to evaluate the effectiveness of a program. The object is to account for serial correlation while measuring patterns of change and taking into account background information and group membership.
Profile of the student
Interested in novel statistical techniques and the statistical software R.
Contact Jean-Paul Fox (CU B331, OMD).