Teaching Statistical Inference for Causal Effects in Experiments and Observational Studies
Teaching Statistical Inference for Causal Effects in Experiments and Observational Studies
复制标题
教授实验和观察研究中因果效应的统计推断
DOI：
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发表时间：
2004
期刊：
影响因子：
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通讯作者：
D. Rubin
中科院分区：
文献类型：
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作者：
D. Rubin
因果效应的推断是科学和公共政策的许多分支中的一项关键活动。无论是从设计实验还是观察性研究来看，统计学领域都是最适合解决此类问题的领域。因此，可以说，统计系教授因果推理课程给研究生和本科生是必不可少的。本文根据十多年来的反复经验，讨论了这类课程的大纲。
Inference for causal effects is a critical activity in many branches of science and public policy. The field of statistics is the one field most suited to address such problems, whether from designed experiments or observational studies. Consequently, it is arguably essential that departments of statistics teach courses in causal inference to both graduate and undergraduate students. This article discusses an outline of such courses based on repeated experience over more than a decade.
影响因子：
2
作者：
SOMMER, A;ZEGER, SL
通讯作者：
ZEGER, SL
影响因子：
2
作者：
ROBINS, J
通讯作者：
ROBINS, J