Do you want to be self-reliant in doing statistical analyses?
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 junior researchers (residents, fellows, faculty), this short non-credit zoom course (six consecutive Thursdays 3-6pm 1/21-2/25) will help you to become self-reliant in doing statistical analyses and to know:
the correct statistical procedures to analyze one's data, and
how to carry out the analyses.
We will teach:
- the basic 2x2 contingency table using our online tool;
- the little that Excel can do (t-tests, correlations, scatter plots);
- a simplified power analysis (sample size determination) using our online tool;
- 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. We have developed a two-device/two-meeting method to allow teaching assistants to provide hands-on help even during the lectures.. Participants will be assigned homework.
Instructor: Sekhar Ramakrishnan ScD, Senior Research Scientist, Department of Pediatrics; Statistician
Register Here
