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- W2367172440 abstract "A structural regression model for causal inference is established to estimate the average treatment effect under strongly ignorable treatment assignment. Under the normal distribution, the maximum likelihood estimator for the population parameter is proved to be unbiased and asymptotically normal. The proposed method can be applied to the general case with measurement errors." @default.
- W2367172440 created "2016-06-24" @default.
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- W2367172440 date "2000-01-01" @default.
- W2367172440 modified "2023-09-23" @default.
- W2367172440 title "STRUCTURAL REGRESSION MODEL FOR CAUSAL INFERENCE UNDER STRONGLY IGNORABLE TREATMENT ASSIGNMENT" @default.
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