Statistical models for causation - What inferential leverage do they provide?

被引：73

作者：

Freedman, David A. ^{[1
]}

机构：

[1] Univ Calif Berkeley, Berkeley, CA 94720 USA

来源：

EVALUATION REVIEW | 2006年 / 30卷 / 06期

关键词：

causation; models; experiments; observational studies; intention-to-treat; perprotocol; treatment-received; instrumental variables;

D O I：

10.1177/0193841X06293771

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

Experiments offer more reliable evidence on causation than observational studies which is not to gainsay the contribution to knowledge from observation. Experiments should be analyzed as experiments, not as observational studies. A simple comparison of rates might be just the right tool, with little value added by "sophisticated" models. This article discusses current models for causation, as applied to experimental and observational data. The intention-to-treat principle and the effect of treatment on the treated will also be discussed. Flaws in per-protocol and treatment-received estimates will be demonstrated.

引用

页码：691 / 713

页数：23

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