Bounds on causal effects in three‐arm trials with non‐compliance

By Jing Cheng, Dylan S. Small. 2006

119 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/667b6b335d96481c7eb06f1c65009da7e6d09bd2

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In Statistics and Probability

Citations in the corpus

Latent class instrumental variables: A clinical and biostatistical perspective (2015, methodology): “For a detailed discussion of the choice of instrumental variables or the inclusions of covariates, see Imbens [2], Baiocchi, Cheng, and Small [3], and Garabedian et al. [4] and Neuman et al. [65].”
Tutorial in Biostatistics: Instrumental Variable Methods for Causal Inference* (2014, background): “Tutorial in Biostatistics Received 20 June 2013, Accepted 10 February 2014 Published online 6 March 2014 in Wiley Online Library (wileyonlinelibrary.com) DOI: 10.1002/sim.6128 Instrumental variable methods for causal inference‡ Michael Baiocchi,a Jing Chengb and Dylan S. Smallc*† A goal of many heal”
Augmented designs to assess principal strata direct effects (2011, unknown): “…(full and partial) identification strategies and estimation methods for principal effects have been developed (e.g. Barnard et al. (2003), Cheng and Small (2006), Cheng et al. (2009), Frangakis et al. (2007), Gallop et al. (2009), Imai (2008), Lee (2009), Lynch et al. (2008), Mattei and Mealli…”
Principal Stratification (2015, methodology): “These strategies include constructing nonparametric bounds (e.g., Cheng & Small, 2006; Grilli & Mealli, 2007; Jo & Vinokur, 2011), using auxiliary information such as proper priors (Hirano et al., 2000), covariates (Jo, 2002), or secondary outcomes (Mealli & Pacini, 2013), or explicitly changing…”
On Partial Identification of the Pure Direct Effect (2015, background): “…inference when structural assumptions are not sufficiently strong to give point identification of a causal parameter of interest (Robins, 1989; Balke and Pearl, 1997; Zhang and Rubin, 2003; Kaufman et al., 2005; Cheng and Small, 2006; Cai et al., 2008; Sjölander, 2009; Taguri and Chiba, 2015).”
Principal causal effect identification and surrogate end point evaluation by multiple trials (2015, background): “Zhang and Rubin (2003) and Cheng and Small (2006) proposed large sample bounds of causal effects within some principal strata, which, however, may be too wide to be informative.”
Defining and Estimating Intervention Effects for Groups that will Develop an Auxiliary Outcome (2006, background): “…a Bayesian approach, in which prior information is combined with the likelihood to produce a posterior (Imbens and Rubin, 1997), and approaches which derive bounds on causal effects (Balke and Pearl, 1997; Manski, 1990; Robins, 1989; Rubin, 2004; Zhang and Rubin, 2003; Cheng and Small, 2006).”
Sharp bounds on the causal effects in randomized experiments with "truncation-by-death" (2008, methodology): “A similar analytical strategy can be applied to three-arm (or more) randomized trials with noncompliance (Imai, 2005; Cheng and Small, 2006) as well as randomized experiments with both noncompliance and ‘‘truncation-by-death’’ in order to derive the sharp bounds on various causal quantities of…”