The preeminent tool of clinical research, the randomized clinical trial (RCT), is an important paradigm of research that has led to many important findings. The main outcome of an RCT if often the average treatment effect (ATE), which is the effect the trial would have, on average, if it were implemented in a population that is similar to the one in which it was studied. However, as research funds become scarcer, it is important to maximize the effects of trials not just on average, but to individuals. To this end, I have conducted research to examine who most benefits from a given intervention, and why they benefit.
Lienert J, Smith-Fawzi MK, McAdam K, Kaaya S, Todd J, Andrews A, and Onnela JP. Network spillover effects and follow-up correlates in a behavioral HIV intervention in Tanzania. In press at BMJ Open.
Lienert J and Patel M. 2020. Patient phenotypes help explain variation in response to a social gamification weight loss intervention. American Journal of Health Promotion, 0890117119892776.
Lienert J and Patel M. Team diversity increases step counts in cooperative, but not competitive arms of a behavioral intervention trial. Submitted to American Journal of Health Promotion.
Lienert J and Patel M. Loss aversion explains step-count behavior among those with earned, but not endowed gamification rewards in a behavioral intervention trial. Submitted to Experimental Economics.