Mei-Cheng Wang is a biostatistician in the Johns Hopkins Bloomberg School of Public Health.[1] Her research includes both theoretical work on survival analysis and statistical truncation, and applications to medical questions including prenatal and infant care, AIDS infection, and kidney disease.

Wang earned a bachelor's degree in mathematics from National Tsing Hua University in 1978. She completed a master's degree in 1983 and a Ph.D. in 1985 in statistics from the University of California, Berkeley.[1] Her dissertation, supervised by Nicholas P. Jewell, was Regression Analysis with Selection Biased Dependent Variable.[2] She has been on the Johns Hopkins faculty since 1985.[1]

In 1998, Wang was elected as a Fellow of the American Statistical Association. She was elected to the International Statistical Institute in 2015, and as a fellow of the Institute of Mathematical Statistics in 2017 "for influential contributions to survival analysis, including theory and application of random truncation and recurrent event processes".[1][3] Also in 2017, the International Chinese Statistical Association gave her their Outstanding Service Award.[4]

References

  1. 1 2 3 4 Curriculum vitae (PDF), retrieved 2017-10-31
  2. ↑ Mei-Cheng Wang at the Mathematics Genealogy Project
  3. ↑ "2017 IMS Fellows", IMS Bulletin, Institute of Mathematical Statistics, May 15, 2017, retrieved 2017-10-31
  4. ↑ 2017 ICSA Awards Recipients, retrieved 2017-10-31
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