Corpus ID: 35651875

RANDOMIZED EXPERIMENTS AND OBSERVATIONAL STUDIES: CAUSAL INFERENCE IN STATISTICS

@inproceedings{Rosenbaum2004RANDOMIZEDEA,
  title={RANDOMIZED EXPERIMENTS AND OBSERVATIONAL STUDIES: CAUSAL INFERENCE IN STATISTICS},
  author={P. Rosenbaum},
  year={2004}
}
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 effects, randomized experiments, adjustments for observed covariates, sensitivity analysis for un- observed covariates, reducing sensitivity to hidden bias using design strategies. 1. Seven Key Contributions to Causal Inference 1.0.1. Ronald A. Fisher (1935). The Design of Experiments. Edinburgh… Expand

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