Marginal and Nested Structural Models Using Instrumental Variables

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DOUBLY ROBUST INSTRUMENTAL VARIABLE REGRESSION (2012, methodology): “Alternative doubly robust estimators are proposed by Tan (2006a, 2010a) to improve efficiency when the propensity score model is correctly specified but the outcome regression model is misspecified.”
Instrumental Variables: An Econometrician's Perspective (2014, unknown): “…Robins (2006), Robins (1994), Robins and Rotnitzky (2004), Vansteelandt and Goetghebeur (2003), Vansteelandt et al. (2011), Hirano et al. (2000), Tan (2006, 2010), Abadie (2002, 2003), Duflo, Glennester and Kremer (2007), Brookhart et al. (2006), Martens et al. (2006), Morgan and…”
Tutorial in Biostatistics: Instrumental Variable Methods for Causal Inference* (2014, background): “For further information on approach (ii), see [48, 49].”
On Instrumental Variables Estimation of Causal Odds Ratios (2011, methodology): “As with other causal models that are not guaranteed to be congenial (e.g., Petersen et al., 2007; Tan, 2010) and as confirmed in simulation studies in the next section, we believe this is unlikely to induce an important bias.”