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Wendy Lou

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Wen-Yi Wendy Lou, who is a biostatistician, works as a professor in the Dalla Lana School of Public Health of the University of Toronto.[1] Her research interests include the theory of runs and patterns in sequence data and applications of statistics to health care.[2]

Education and career

Lou was born in 1962.[3] She completed her Ph.D. in biostatistics in 1995 at the University of Toronto.[1][2] Her dissertation was On runs tests for independence of binary longitudinal data using the method of finite Markov chain imbedding.

She worked as a faculty member in the Mount Sinai School of Medicine, at that time affiliated with New York University, before moving back to Toronto.[2]

Book

With James C. Fu, Lou is the author of the book Distribution Theory of Runs and Patterns and Its Applications: A Finite Markov Chain Imbedding Approach (World Scientific, 2003).[4]

Recognition

Lou is the former holder of the Canada Research Chair in Statistical Methods for Health Care in the Dalla Lana School.[2] In 2013 Lou became a Fellow of the American Statistical Association "for her notable contributions to the distribution theory of runs and patterns, for remarkable collaborations in the biomedical and healthcare sciences, for exemplary leadership in statistical education and outstanding service to the profession".[5][6]

References

  1. ^ a b "Wendy Lou", Faculty database, Dalla Lana School of Public Health, retrieved 2018-12-16
  2. ^ a b c d "Dr. W.Y. Wendy Lou, Professor" (PDF), Speaker biography for SCV 2008 conference, Academia Sinica Institute of Statistical Science, retrieved 2018-12-16
  3. ^ Birth year from ISNI authority control file, retrieved 2018-12-16.
  4. ^ Reviews of Distribution Theory of Runs and Patterns and Its Applications:
  5. ^ Prof. Wendy Lou honored as Fellow of the American Statistical Association, Dalla Lana School of Public Health, retrieved 2018-12-16
  6. ^ Thompson, Mary E. (2014), "Reflections on women in statistics in Canada", in Lin, Xihong; Genest, Christian; Banks, David L.; Molenberghs, Geert; Scott, David W.; Wang, Jane-Ling (eds.), Past, Present, and Future of Statistical Science, CRC Press, pp. 203–216, ISBN 9781482204988. See in particular p. 210.