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PERFORMANCE GUARANTEES FOR INDIVIDUALIZED TREATMENT RULES.
TLDR
The use of clinical trial data is considered in the construction of an individualized treatment rule leading to highest mean response and estimation based on l(1) penalized least squares is considered.
The prevention and treatment of missing data in clinical trials.
TLDR
Methods for preventing missing data and, failing that, dealing with data that are missing in clinical trials are reviewed.
Consistency in a Proportional Hazards Model Incorporating a Random Effect
Supported in part by the North Atlantic Treaty Organization under a grant awarded in 1990 & conducted at the Mathematical Institute of the University of Utrecht, The Netherlands
A Generalization Error for Q-Learning
  • S. Murphy
  • Computer Science
    J. Mach. Learn. Res.
  • 1 December 2005
TLDR
This work considers Q-learning with function approximation for this setting and derives an upper bound on the generalization error in terms of quantities minimized by a Q- Learning algorithm, the complexity of the approximation space and an approximation term due to the mismatch between Q- learning and the goal of learning a policy that maximizes the value function.
Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support
TLDR
It is critical that researchers develop sophisticated and nuanced health behavior theories capable of guiding the construction of JITAIs and particular attention has to be given to better understanding the implications of providing timely and ecologically sound support for intervention adherence and retention.
Marginal Mean Models for Dynamic Regimes
TLDR
The methodology proposed here allows the estimation of a mean response to a dynamic treatment regime under the assumption of sequential randomization.
Asymptotic Theory for the Frailty Model
The frailty model is a generalization of Cox's proportional hazards model which includes a random effect. Nielsen, Gill, Andersen and Sorensen (1992) proposed an EM algorithm to estimate the
A Conceptual Framework for Adaptive Preventive Interventions
TLDR
A conceptual framework for adaptive interventions is offered, principles underlying the design and evaluation of such interventions are discussed, and some areas where additional research is needed are reviewed.
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