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==参考文献 ==

==参考文献 ==

*{{cite paper |arxiv=1109.2143 |title=Bayesian Inference for Causal Effects: The Role of Randomization |first=Rubin|last=Donald |journal= The Annals of Statistics |year=1978 |volume=6 (1) |pages=34–58|doi=10.1214/aos/1176344064}}

*{{cite paper |title=Bayesian Inference for Causal Effects: The Role of Randomization |first=Rubin|last=Donald |journal= The Annals of Statistics |year=1978 |volume=6(1) |pages=34–58|doi=10.1214/aos/1176344064}}

 

*{{cite paper |arxiv=1109.2143 |title=The Central Role of the Propensity Score in Observational Studies for Causal Effects |first=Rubin|last=Donald B.|first2=Rosenbaum|last2=Paul R.|journal= Biometrika |year=1983 |volume=70(1) |pages=41–55|doi=10.2307/2335942}}

Rubin, Donald (1978). "Bayesian Inference for Causal Effects: The Role of Randomization". The Annals of Statistics. 6 (1): 34–58. doi:10.1214/aos/1176344064.

*{{cite paper |title=The Central Role of the Propensity Score in Observational Studies for Causal Effects |first=Yamamoto|last=Teppei|journal=  Journal of Political Science|year=1983 |volume= 56 (1) |pages= 237–256|doi=10.1111/j.1540-5907.2011.00539.x}}

Rubin, Donald B.; Rosenbaum, Paul R. (1983). "The Central Role of the Propensity Score in Observational Studies for Causal Effects". Biometrika. 70 (1): 41–55. doi:10.2307/2335942. JSTOR 2335942.

*{{cite paper |title=On the consistency rule in causal inference: axiom, definition, assumption, or theorem? |first=Pearl|last=Judea |journal=  Epidemiology|year=2010 |volume= 21 (6) |pages= 872–875|doi=10.1097/EDE.0b013e3181f5d3fd}}

Yamamoto, Teppei (2012). "Understanding the Past: Statistical Analysis of Causal Attribution". Journal of Political Science. 56 (1): 237–256. doi:10.1111/j.1540-5907.2011.00539.x. hdl:1721.1/85887.

*{{cite paper |title=Misunderstandings between experimentalists and observationalists about causal inference |first=Imai|last=Kosuke |journal=  Epidemiology|year=2006 |volume= 171 (2) |pages= 481–502|doi=10.1111/j.1467-985X.2007.00527.x}}

Pearl, Judea (2010). "On the consistency rule in causal inference: axiom, definition, assumption, or theorem?". Epidemiology. 21 (6): 872–875. doi:10.1097/EDE.0b013e3181f5d3fd. PMID 20864888.

Imai, Kosuke (2006). "Misunderstandings between experimentalists and observationalists about causal inference". Journal of the Royal Statistical Society, Series A (Statistics in Society). 171 (2): 481–502. doi:10.1111/j.1467-985X.2007.00527.x.

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