Handling time-varying confounding in state transition models for dynamic optimization of adaptive interdisciplinary pain management-Reference-Cited by-同舟云学术

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Handling time-varying confounding in state transition models for dynamic optimization of adaptive interdisciplinary pain management

Published:2018-01-02 Issue:1 Volume:8 Page:83-92
ISSN:2472-5579
Container-title:IISE Transactions on Healthcare Systems Engineering
language:en
Short-container-title:IISE Transactions on Healthcare Systems Engineering

Author:

LeBoulluec Aera¹,Ohol Nilabh¹,Chen Victoria¹,Zeng Li²,Rosenberger Jay¹,Gatchel Robert³

Affiliation:

1. University of Texas at Arlington, Department of Industrial, Manufacturing and Systems Engineering, Arlington, Texas, United States

2. Texas A&M University, Industrial and Systems Engineering, College Station, Texas, United States

3. University of Texas at Arlington, Department of Psychology, Arlington, Texas, United States

Funder

National Science Foundation

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality

Link

https://www.tandfonline.com/doi/pdf/10.1080/24725579.2017.1418770

Reference62 articles.

1. Categorical Data Analysis

2. Intensive interdisciplinary outpatient pain management program for chronic back pain: a pilot study

3. Marginal Structural Models for Analyzing Causal Effects of Time-dependent Treatments: An Application in Perinatal Epidemiology

4. Constructing Inverse Probability Weights for Marginal Structural Models

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2. Multi-Objective Two-Stage Stochastic Programming for Adaptive Interdisciplinary Pain Management with Piecewise Linear Network Transition Models;IISE Transactions on Healthcare Systems Engineering;2021-07-01

3. Addressing state space multicollinearity in solving an ozone pollution dynamic control problem;European Journal of Operational Research;2021-03

4. An Optimization Framework to Study the Balance Between Expected Fatalities Due to COVID-19 and the Reopening of U.S. Communities;IEEE Transactions on Automation Science and Engineering;2021

5. Two-stage stochastic programming for interdisciplinary pain management;IISE Transactions on Healthcare Systems Engineering;2019-04-03

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