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CAUSAL INFERENCE AND HETEROGENEITY BIAS IN SOCIAL SCIENCE*
Because of population heterogeneity, causal inference with observational data in social science may suffer from two possible sources of bias: (1) bias in unobserved pretreatment factors affecting the outcome even without treatment; and (2)bias due to heterogeneity in treatment effects. Even when we...
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| 主要作者: | |
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| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
2011
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| 主題: | |
| 在線閱讀: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3747843/ https://ncbi.nlm.nih.gov/pubmed/23970824 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3233/IKS-2012-0197 |
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