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Statistical Analysis of Research Data (SARD).

Overview: 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 January 19-20, 2012 from 9:00 am - 5:00 pm at the Natcher Conference Center, Balcony C on the Bethesda Campus. SARD is designed to provide an overview on 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 clinical and postdoctoral fellows is encouraged.

Course Agenda (pdf)
Course Materials
·  SARD 2012 Assignment (pdf)
·  Dr. Thurman Biosketch (pdf)
·  SARD References (pdf)

Links and Related Training Opportunities: This course is part of an ongoing curriculum for training of NCI clinical and postdoctoral fellows. Each Fall, Translational Research in Clinical Oncology" (TRACO), hosted by Dr. T. Moody is offered primarily for NIH postdoctoral fellows. Another course, "Demystifying Medicine for PhDs" has 2 hours of lecture each week from January-May and is hosted by Dr. Irvin M. Arias. To learn about additional opportunities for postdoctoral training at NIH go to http://www.training.nih.gov/

Location and Time: The sessions will start at 9:00 am. A lunch break will occur at 12:00 noon - 1:00 pm. The sessions will conclude at 5:00 pm.

Registration Form: The deadline for registration is January 17, 2012 . The first 50 registrants will be accommodated. The registration form is available online, click here to register. The course will be directed by Dr. Terry Moody, phone (301-451-9451).

Organizing Committee:

 Faculty:

William D. Figg, Pharm.D

Paul Thurman, MBA

Terry Moody, PhD Columbia University
Jonathan Wiest, PhD