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Randomized experiments and observational studies: causal inference in statistics.
| Content Provider | CiteSeerX |
|---|---|
| Author | Rosenbaum, Paul R. |
| Abstract | Abstract. This talk describes the theory of causal inference in randomized experiments and nonrandomized observational studies, using two simple theo-retical/actual examples for illustration. Key ideas: causal e¤ects, randomized experiments, adjustments for observed covariates, sensitivity analysis for un-observed covariates, reducing sensitivity to hidden bias using design strategies. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Randomized Experiment Observational Study Causal Inference Statistic Design Strategy Sensitivity Analysis Simple Theo-retical Actual Example Nonrandomized Observational Study Causal Inference Key Idea Un-observed Covariates Causal Ect Observed Covariates Randomized Experiment |
| Content Type | Text |
| Resource Type | Article |