Statistical Analysis of Research Data (SARD)

Recent advances in cancer biology have resulted in the need for increased statistical analysis of research data. The Statistical Analysis of Research Data (SARD) course will be held on April 12-13, 2017 from 9:00 AM – 5:00 PM at the Natcher Conference Center, Balcony A on the Bethesda campus. SARD is designed to provide an overview of the general principles of statistical analysis of research data. The course will be taught by Paul W. Thurman of Columbia University. The first day will feature univariate data analysis, including descriptive statistics, probability distributions, and one- and two-sample inferential statistics. The second day will feature bivariate data analysis, including bivariate statistics, linear regression non-parametric tools and goodness-of-fit tests.

  • The participation of NIH/NCI clinical and postdoctoral fellows is encouraged. 
  • Class size is limited to the first 50 registrants.

The Instructor

Paul Thurman, M.B.A.
Columbia University

 


Course Materials


Registration

Registration CLOSED for this course on April 7, 2017.


Location and General Information

  • Bethesda campus – Natcher Conference Center, Balcony A
  • This is a 2-day course (April 12-13, 2017)
  • The sessions are held 9:00 AM –  5:00 PM
  • A lunch break will occur from 12:00 NOON – 1:00 PM

Related Training Opportunities

This course is part of an ongoing training curriculum for NCI-NIH clinical and postdoctoral fellows. Each fall CCR offers the “Translational Research in Clinical Oncology (TRACO)” course, hosted by Dr. Terry Moody. 

Another course, "Demystifying Medicine" is held each spring. This course provides 2 hours of lecture each week (January – May) and is hosted by Dr. Irvin M. Arias. To learn about additional training opportunities at NIH, visit https://www.training.nih.gov/

 


More Information

Contact Dr. Terry Moody at moodyt@mail.nih.gov
or by phone: 240-276-7785.


Organizing Committee

Paul Thurman, MBA
W. Douglas Figg, Pharm.D.
Terry Moody, Ph.D.
Jonathan Wiest, Ph.D.