A conversation with Elizabeth A. Stuart

Abstract

Elizabeth A. Stuart is a Professor in the Departments of Mental Health, Biostatistics, and Health Policy and Management at the Johns Hopkins Bloomberg School of Public Health, and Associate Dean for Education at the school. She is a renowned expert in the area of causal inference, including propensity score methods for observational data and the generalizability of randomized trial results, and is also a Fellow of the American Statistical Association. Prior to her appointment to the faculty at Johns Hopkins, Professor Stuart received her Ph.D. in statistics from Harvard University and a bachelor’s degree in mathematics from Smith College. In 2015, Professor Stuart was recognized at the International Conference on Health Policy Statistics with the Mid-Career Award from the Health Policy Statistics Section of the American Statistical Association.

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References

  1. Imai, K., King, G., Stuart, E.: Misunderstandings between experimentalists and observationalists about causal inference. J. R. Stat. Soc. Ser. A 171, 481–502 (2008)

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Acknowledgments

The interviewer thanks Sarah Chambers of the Department of Health Care Policy at Harvard Medical School for transcription assistance.

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Correspondence to Sherri Rose.

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The interviewer and interviewee declare that they have no conflicts of interest.

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This article does not contain any studies with animals or human participants.

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Rose, S. A conversation with Elizabeth A. Stuart. Health Serv Outcomes Res Method 16, 177–186 (2016). https://doi.org/10.1007/s10742-016-0158-4

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Keywords

  • Causal inference
  • Health services research
  • Matching