Event

Abstract: Traditional randomized controlled trials (RCTs) often face challenges with recruitment, adherence, and generalizability, especially in trials studying multiple interventions across critical decision points in chronic diseases. To address this, we propose the Partially Randomized, Patient Preference, Sequential, Multiple Assignment, Randomized Trial (PRPP-SMART)—a novel design integrating patient preferences with multi-stage randomization. At each stage, participants either receive their preferred treatment or, if indifferent, are randomized. Using Bayesian and frequentist regression models, we efficiently analyze data from both groups to estimate embedded dynamic treatment regimes (DTRs). Our findings demonstrate that PRPP-SMART enhances trial feasibility while maintaining robust statistical inference. This talk will explore its design, analysis, and impact on clinical research.

Dr Kelley Kidwell is Professor of Biostatistics at the University of Michigan, USA.  Her interests are in the design and analysis of clinical trials, with her methodological work centering on better matching the way in which we practice medicine and public health (critical decisions over time tailored to individuals) to the way in which we experimentally study it in randomised trials. 

Dr. Kidwell's methodological work has primarily focused on the design and analysis of sequential, multiple assignment, randomized trials (SMARTs) in standard or large size trials for treating common diseases and disorders, and in small samples or for treating rare diseases. Collaboratively, Dr. Kidwell aims to improve public health science by bridging the gap between researchers, the biostatistical methods needed and applied to studies, and the communication of results.

She is involved in the design and analysis of many trials in settings such as mental health, chronic pain, substance use, and oncology. Her methods and collaborative work influences clinical trial statistical theory and practice with the aim of improving people's lives through new designs and efficient treatment effect estimates.

This seminar will be held in person at 553 St Kilda Road, Melbourne and online via Zoom. It will be recorded.

Registration is not required.

Please click this URL to start or join: https://monash.zoom.us/j/81875325968?pwd=I8akGkSl4KCdxOdN2xmSlaGex2ba7P.1

Or, go to https://monash.zoom.us/join and enter

Meeting ID: 818 7532 5968

Passcode: 230957