Robins on "Optimal Treatment Regimes" 

 Please join us this Wednesday, October 7th at the Applied Statistics workshop when we will be happy to have  Jamie Robins , the Mitchell L. and Robin LaFoley Dong Professor of Epidemiology here at Harvard, who will be presenting on "Estimation of Optimal Treatment Strategies from Observational Data with Dynamic Marginal Structural Models." Jamie has passed along a  related paper  with the following abstract: 

 
We review recent developments in the estimation of an optimal treatment strategy or regime from longitudinal data collected in an observational study. We also propose novel methods for using the data obtained from an observational database in one health-care system to determine the optimal treatment regime for biologically similar subjects in a second health-care system when, for cultural, logistical, or financial reasons, the two health-care systems differ (and will continue to differ) in the frequency of, and reasons for, both laboratory tests and physician visits. Finally, we propose a novel method for estimating the optimal timing of expensive and/or painful diagnostic or prognostic tests. Diagnostic or prognostic tests are only useful in so far as they help a physician to determine the optimal dosing strategy, by providing information on both the current health state and the prognosis of a patient because, in contrast to drug therapies, these tests have no direct causal effect on disease progression. Our new method explicitly incorporates this no direct effect restriction.
 

 A  copy of the paper  is also available.  

 The Applied Statistics workshop meets each Wednesday in room K-354, CGIS-Knafel (1737 Cambridge St). We start at 12 noon with a light lunch, with presentations beginning around 12:15 and we usually wrap up around 1:30 pm. We hope you can make it.