Semiparametric Estimation with Data Missing Not at Random Using an Instrumental Variable

17 Jan 2017 Sun BaoLuo Liu Lan Miao Wang Wirth Kathleen Robins James Tchetgen Eric Tchetgen

Missing data occur frequently in empirical studies in health and social sciences, often compromising our ability to make accurate inferences. An outcome is said to be missing not at random (MNAR) if, conditional on the observed variables, the missing data mechanism still depends on the unobserved outcome... (read more)

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