4 papers · 1 filter
Backward Bayesian Outcome Weighted Learning
Emmanuel M. Rockwell, Michael R. Kosorok, Nikki L. B. Freeman
A central objective of precision medicine is learning optimal dynamic treatment regimes (DTRs) from data. Classification-based methods, like outcome weighted learning (OWL) for sin…
Bayesian Mediation Analysis for Individualized Treatment Rules
Emmanuel M. Rockwell, Patrick J. Smith, Michael R. Kosorok +1
The value of an individualized treatment rule (ITR), defined as the expected outcome under treatment assignment according to the rule, is useful for assessing average clinical bene…
A Review of Methods and Practices for Missing Data in Sequential Multiple Assignment Randomized Trials (SMARTs): An Ancillary Study of a Scoping Review
Nikki L. B. Freeman, Chenyao Yu, Margaret Hoch +5
Background: Missing data poses an acute threat to sequential multiple assignment randomized trial (SMART) analyses because of the sequential treatment structure and response-depend…
Confidence Regions for Multiple Outcomes, Effect Modifiers, and Other Multiple Comparisons
Paul N Zivich, Stephen R Cole, Noah Greifer +3
In epidemiology, some have argued that multiple comparison corrections are not necessary as there is rarely interest in the universal null hypothesis. From a parameter estimation p…