Causal Effect Models for Realistic Individualized Treatment and Intention to Treat Rules

By M. J. van der Laan, M. Petersen. 2007

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Citations in the corpus

Learning When-to-Treat Policies (2019, methodology): “For a further discussion of doubly robust estimation under sequential ignorability, see Van der Laan and Rose (2018, Chapter 4), Tsiatis, Davidian, Holloway, and Laber (2019), and references therein.”
Learning Representations for Counterfactual Inference (2016, background): “In this case the quantity Y 1 ( x ) − Y 0 ( x ) is of high interest: it is known as the individualized treatment effect (ITE) for context x (van der Laan & Petersen, 2007; Weiss et al., 2015).”
Estimation of the causal effects of time-varying exposures (2008, unknown): “Dynamic MSMs in full generality were first introduced by Orellana , Rotnitzky , and Robins ( 2006 ) and , shortly thereafter , independently by van der Laan and Petersen ( 2007 ) .”
Estimation of the causal effects of time-varying exposures (2008, unknown): “Dynamic MSMs in full generality were first introduced by Orellana, Rotnitzky, and Robins (2006) and, shortly thereafter, independently by van der Laan and Petersen (2007). Both built on earlier work by Robins (1993) and Murphy, van der Laan, and Robins (2001).”
Using Big Data to Emulate a Target Trial When a Randomized Trial Is Not Available. (2016, background): “Another possibility is to create 2 exact copies of this individual — clones — in the data and assign each of the 2 clones to a different strategy (35 – 38).”
A Bayesian Nonparametric Approach for Estimating Individualized Treatment-Response Curves (2016, methodology): “…of structural nested models (Robins, 2004), inverse probability of treatment weighted (IPTW) estimation of marginal structure models (van der Laan and Petersen, 2007), doubly robust learning (Tsiatis, 2007; Zhao et al., 2015) with applications to longitudinal data analysis (Hernán et al.,…”
Q-LEARNING WITH CENSORED DATA (2012, background): “Similar results for Glivenko–Cantelli classes, Donsker classes and bounded uniform entropy integral (BUEI) classes can be found in van der Vaart and Wellner (1996) and Kosorok (2008).”
Interactive Q-learning for Quantiles (2017, background): “…structural models (MSMs) are one type of direct-search estimators (Robins 2000; van der Laan, Petersen, and Joffe 2005; van der Laan 2006; van der Laan and Petersen 2007; Bembom and van der Laan 2008; Robins, Orellana, and Rotnitzky 2008; Orellana, Rotnitzky, and Robins 2010; Petersen et al.…”
A Bayesian Nonparametic Approach for Estimating Individualized Treatment-Response Curves (2016, methodology): “…of structural nested models (Robins, 2004), inverse probability of treatment weighted (IPTW) estimation of marginal structure models (van der Laan and Petersen, 2007), doubly robust learning (Tsiatis, 2007; Zhao et al., 2015) with applications to longitudinal data analysis (Hernán et al.,…”
Comparative effectiveness of dynamic treatment regimes: an application of the parametric g-formula (2011, unknown): “There are relatively few examples of analyses of observational data to compare dynamic regimes similar to those described above [2, 3, 9, 12 , 14, 19].”
Estimating the optimal dynamic antipsychotic treatment regime: Evidence from the sequential multiple assignment randomized CATIE Schizophrenia Study (2012, methodology): “We implement stabilized weights and, following convention, we truncate all weights at 10 to avoid excess variability (Cain et al., 2010; van der Laan and Petersen, 2007).”
The International Journal of Biostatistics (2017, unknown): “Marginal structural models for a user supplied set of dynamic treatment regimens were developed and proposed in van der Laan (2006), van der Laan and Petersen (2007) and, simultaneously and independently, in Robins et al. (2008). van der Laan and Petersen (2007) also includes a data analysis…”