An Introduction to Sensitivity Analysis for Unobserved Confounding in Nonexperimental Prevention Research

@article{Liu2012AnIT,
  title={An Introduction to Sensitivity Analysis for Unobserved Confounding in Nonexperimental Prevention Research},
  author={Weiwei Liu and Satoko Janet Kuramoto and Elizabeth A. Stuart},
  journal={Prevention Science},
  year={2012},
  volume={14},
  pages={570-580}
}
Despite the fact that randomization is the gold standard for estimating causal relationships, many questions in prevention science are often left to be answered through nonexperimental studies because randomization is either infeasible or unethical. While methods such as propensity score matching can adjust for observed confounding, unobserved confounding is the Achilles heel of most nonexperimental studies. This paper describes and illustrates seven sensitivity analysis techniques that assess… CONTINUE READING

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