Stats on Your Own – Six Sessions to Self-Reliance will help you to know how your data should be analyzed, or when you need to consult a biostatistician. Geared towards young researchers (residents, fellows, junior faculty), this short non-credit course will help you to become self-reliant in doing statistical analyses and to know (1) the correct statistical procedures to analyze one's data, and (2) how to carry out the analyses.
We will teach (1) the basic 2x2 contingency table using our online tool; (2) the little that Excel can do (t-tests, correlations, scatter plots); (3) a simplified power analysis (sample size determination) using our online tool; (4) more advanced analyses using the popular (free) software R, facilitated by our special-purpose R functions: anova (one-way, covariance, two-way, repeated measures), nonparametric analyses, linear regression, logistic regression, Kaplan-Meier, Cox. The curriculum is comprehensive and will involve working with real data. Teaching assistants will provide hands-on help and participants will be assigned homework.
Instructor: Sekhar Ramakrishnan ScD, Senior Research Scientist, Department of Pediatrics; Statistician, Irving Institute’s Clinical Research Resource
Dates: October 23, 30; November 6, 12, 20, 26
Time: 4:00-7:00 pm
Fee: $50 per registrant
Irving Institute Educational Center Classroom
622 West 168 Street, Floor 10, Room 405A/B
New York, NY 10032