Sue Leurgans

Sue Ellen Leurgans is a biostatistician known for her work on disorders of human movement, including those caused by occupational injury and Parkinson's disease. She is a professor of neurological sciences at the Rush University Medical Center in Chicago.[1]

Leurgans majored in statistics at Princeton University,[1] and earned her Ph.D. in statistics in 1978 from Stanford University. Her dissertation, Asymptotic Distribution Theory in Generalized Isotonic Regression, was supervised by Thomas W. Sager.[2][3] She was a postdoctoral researcher at the University of Washington.[1] and is currently working on biostatistics.[4][5]

Leurgans is one of the authors of the 2007 revision of the Unified Parkinson's disease rating scale.[6] She was president of the Caucus for Women in Statistics in 1990.[7]

References

  1. Sue E. Leurgans, PhD, Michael J. Fox Foundation for Parkinson's Research, retrieved 2019-01-19
  2. Sue Leurgans at the Mathematics Genealogy Project
  3. Leurgans, S. (1982). "Asymptotic distributions of slope-of-greatest-convex-minorant estimators", The Annals of Statistics, 10 pp 287-296,online
  4. PubMed database list of SE Leurgans' biomedical publications
  5. MyBibliography publications
  6. Goetz, Christopher G.; Fahn, Stanley; Martinez-Martin, Pablo; Poewe, Werner; Sampaio, Cristina; Stebbins, Glenn T.; Stern, Matthew B.; Tilley, Barbara C.; Dodel, Richard; Dubois, Bruno; Holloway, Robert; Jankovic, Joseph; Kulisevsky, Jaime; Lang, Anthony E.; Lees, Andrew; Leurgans, Sue; LeWitt, Peter A.; Nyenhuis, David; Olanow, C. Warren; Rascol, Olivier; Schrag, Anette; Teresi, Jeanne A.; Van Hilten, Jacobus J.; LaPelle, Nancy (1 January 2007), "Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): Process, format, and clinimetric testing plan", Movement Disorders, 22 (1): 41–47, doi:10.1002/mds.21198, PMID 17115387
  7. Presidents 1971–2017 (PDF), Caucus for Women in Statistics, retrieved 2019-01-19


This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.