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In medical studies, there are many situations where the final outcomes are truncated by death, in which patients die before outcomes of interest are measured. In this paper we consider identifiability...
Summary: We discuss evaluation of causal effects with missing data due to death. Frangakis et al. (2007)proposed an approach for estimating the causal effects of interest under some assumptions. In th...
There has been growing interest in recent years in Q-matrix based cognitive diagnosis models. Parameter estimation and respondent classification under these models may suffer due to identifiability is...
Pearl has provided the back door criterion,the front door criterion and the conditional instrumental variable (IV) method as iden-tifiability criteria for total effects.In some situations,these three ...
Structural equation models are multivariate statistical models that are defined by specifying noisy functional relationships among random vari- ables. We consider the classical case of linear relati...
Detecting Non-Identifiability on the Poly-Weibull Model
Consistency and Identifiability Revisited。

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