The NCI Center for Cancer Training announces a course for NIH fellows: Statistical Tutorial (ST). Recent advances in cancer biology have resulted in the need for increased statistical analysis of research data. The ST course is designed as a follow up to Statistical Analysis of Research Data (SARD) held in January 2020. The tutorial will apply the general principles of statistical analysis of research data including descriptive statistics, z- and t-tests of means and mean differences, simple and multiple linear regression, ANOVA tests, and Chi-Squared distribution.
The tutorial will be held virtually (via WebEx) on Monday May 19, 2020 from 1-4 p.m. The participation of NIH clinical and postdoctoral fellows who need to conduct statistical analysis of research data is encouraged.
Paul Thurman, M.B.A. - Columbia University
Laptop Computer with Excel (Bring Your Own)
Registration, at no charge, is available until May 15, 2020. The first 30 registrants will be accommodated. It is anticipated that registrants will have completed the SARD course. The registration form is available online, click here to register. This tutorial is being directed by Dr. Terry Moody, 240-276-7785.
The tutorial will be held virtually (via WebEx) from 1-4 p.m. on May 19, 2020.
Contact Dr. Terry Moody at email@example.com or by phone at 240-276-7785.
Links and Related Training Opportunities
The NCI Center for Cancer Research Office of Training and Education is developing a curriculum for the training of NCI clinical and postdoctoral fellows. Translational research in clinical oncology (TRACO) is offered each fall. Each spring, Statistical Analysis of Research Data (SARD) is offered featuring univariate data analysis and bivariate data analysis. The Statistical Tutorial (ST) is being offered as a follow up to SARD. It will feature analysis of research data using Excel spreadsheets. Each registrant should bring a laptop computer to participate in the tutorial. For additional opportunities for postdoctoral training at NIH view http://www.training.nih.gov/.