Demystifying Optimal Dynamic Treatment Regimes

By Erica E. Moodie, Thomas S. Richardson, David A. Stephens. 2007

235 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Statistics and Probability

Citations in the corpus

Deep Reinforcement Learning for Dynamic Treatment Regimes on Medical Registry Data (2017, background): “Methods to identify the optimal DTRs have recently received attentions in the statistical community [7], [8], [9], [10], [11], [12], [13], [14], and most of exsiting methods focused on data from randomized clinical trials.”
Estimating Individualized Treatment Rules Using Outcome Weighted Learning (2012, background): “Recently, this research area has been of great interest in long-term management of chronic disease (see, e.g., Murphy et al. 2001; Thall, Sung, and Estey 2002; Murphy 2003; Robins 2004; Moodie, Richardson, and Stephens 2007; Zhao et al. 2011).”
Estimation and extrapolation of optimal treatment and testing strategies (2008, background): “See Moodie et al. [ 6 ] for additional discussion.”
A Robust Method for Estimating Optimal Treatment Regimes (2012, background): “…clinical trials or observational studies, where a single decision or a series of sequential decisions may be involved (Murphy, 2003; Robins, 2004; Moodie, Richardson, and Stephens, 2007; Robins, Orellana, and Rotnitzky, 2008; Brinkley, Tsiatis, and Anstrom, 2009; Zhao, Kosorok, and Zeng, 2009;…”
Q- and A-learning Methods for Estimating Optimal Dynamic Treatment Regimes (2012, background): “…may be ascertained following the K th decision, as in the case of CD4 T-cell count at a prespeciﬁed follow-up time in a study of HIV infection (Moodie et al., 2007); or may be a function of information accrued over the entire sequence of decisions, as in Henderson et al. (2010), where outcome…”
Constructing Dynamic Treatment Regimes in Infinite-Horizon Settings (2014, unknown): “Robins (2004) proposes G-estimation as a tool to estimate the parameters of SNMMs, while Murphy (2003) uses a least square characterization method (Moodie et al., 2007).”
Robust estimation of optimal dynamic treatment regimes for sequential treatment decisions (2013, methodology): “See Rosthøj et al. (2006), Murphy et al. (2007), Zhao et al. (2009) and Henderson et al. (2010) for applications; related methods are discussed by Robins (2004), Moodie et al. (2007), Robins et al. (2008), Almirall et al. (2010) and Orellana et al. (2010).”
Identifying the consequences of dynamic treatment strategies: A decision-theoretic overview (2010, methodology): “Murphy (2003) introduces a method based on regret functions (see the discussion and application in Rosthøj et al. (2006)), which is closely related to the structural nested models of Robins (2004) (see Moodie, Richardson and Stephens (2007) for a comparison of these two approaches).”
Estimating Optimal Treatment Regimes from a Classification Perspective (2012, background): “…involving a single decision or a series of decisions based on data from clinical trials or observational studies (Murphy, 2003; Robins, 2004; Moodie et al., 2007; Robins et al., 2008; Brinkley et al., 2009; Zhao et al., 2009; Henderson et al., 2010; Orellana et al., 2010; Gunter et al.,…”
Set-valued dynamic treatment regimes for competing outcomes (2012, background): “…ADHD (Nahum-Shani et al., 2010; Laber et al., 2011; Nahum-Shani et al., 2012), depression (Schulte et al., 2012; Song et al., 2012), HIV infection (Moodie, Richardson, and Stephens, 2007), schizophrenia (Shortreed et al., 2011), and cigarette addiction (Strecher, Shiffman, and West, 2006).”
Robust Hybrid Learning for Estimating Personalized Dynamic Treatment Regimens (2016, methodology): “…optimal DTRs from SMARTs data have recently received attention in the statistical community (Lavori & Dawson, 2004; Murphy, 2003; Robins, 2004; Moodie, Richardson, & Stephens, 2007; Zhang, Tsiatis, Laber, & Davidian, 2012, 2013; Zhao, Kosorok, & Zeng, 2009; Zhao, Zeng, Rush, & Kosorok, 2012;…”
Estimation of Optimal Dynamic Treatment Regimes (2014, background): “Optimal DTRs have been estimated from SMARTs for a wide range of chronic conditions including attention-deficit hyperactivity disorder [23,24], depression [25], HIV infection [13,26,27], schizophrenia [28], and cigarette addiction [5].”