Snedecor Memorial Lecture
| Date/Time: | Monday, 15 Sep 2014 from 4:10 pm to 5:00 pm |
|---|---|
| Location: | Morrill 2019 |
| Cost: | Free |
| URL: | www.stat.iastate.edu |
| Contact: | Jeanette La Grange |
| Phone: | 515-294-3440 |
| Channel: | College of Liberal Arts and Sciences |
| Categories: | Lectures |
| Actions: | Download iCal/vCal | Email Reminder |
Micro-randomized trials are trials in which individuals are randomized 100's or 1000's of times over the course of the study. The goal of these trials is to assess the impact of momentary interventions, e.g. interventions that are intended to impact behavior over small time intervals. A fast growing area of mHealth concerns the use of mobile devices for both collecting real-time data, for processing this data and for providing momentary interventions. We discuss the design and analysis of these types of trials.
Brief Bio: Susan Murphy's research concerns how to best to operationalize the sequential clinical decisions necessary for effectively managing chronic disorders and for achieving and maintaining behavior change. These treatment designs, called dynamic treatment regimes, operationalize the sequencing and individualization of treatments and thus provide the means to use data to directly inform their development. Her research concerns the development of new clinical trial designs and data analysis methods to inform dynamic treatment regime development (called treatment policies in computer science and engineering). Over the past 5 years her work has been funded by NIH grants from the National Institute on Drug Abuse and the National Institute of Mental Health. These clinical trial designs have been and are being used by clinical researchers to develop dynamic treatment regimes in depression, alcoholism, treatment of ADHD, substance abuse, HIV treatment, obesity, diabetes, criminal justice and autism. Statistically this area is interesting and challenging because there is a dearth of principled approaches to estimation and inference. Currently she is collaborating with computer scientists, behavioral scientists and engineers on generalizations of dynamic treatment regimes and data analysis methodology to settings in which patient information is collected in real time (e.g. via smart phones or other mobile devices) and thus interventions can be individualized and delivered in real time. Susan Murphy is a Fellow of the IMS, ASA, College on Problems in Drug Dependence and is a past Editor of the Annals of Statistics. She recently received a MacArthur Fellowship.