Do you want to be self-reliant in doing statistical analyses?
Stats on Your Own is a non-credit hybrid course: four 2-3-hour lecture videos and four in-person workshop sessions (with zoom option) on Tuesdays 2-5pm, November 14th – December 5th, 2023. This mini-course to Statistics 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 workshop will help you 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.
NON CREDIT COURSE OPEN TO THE PUBLIC | COST: $100 per registrant
REGISTRATION DEADLINE: November 9, 2023
Learn more and register.
