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Identifiability and Estimation of Causal Effects by Principal Stratification with Outcomes Truncated by Death
Causal inference Identifiability Principal Stratification Truncated by Death
2016/1/19
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...
Identifiability of causal effects for binary variables with data missing due to death
Causal inference Missing due to death Identifiability EM algorithm Bounds
2016/1/19
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...
Estimating Average Causal Effects Under Interference Between Units
Estimating Average Causal Effects Interference Between Units
2013/6/14
This paper presents a randomization-based framework for estimating causal effects under interference between units. We develop the case of estimating average unit-level causal effects from a randomize...