This program is provided by the Irving Institute Training and Education (TRANSFORM) Resource
Stats On Your Own - Four Sessions to Self-Reliance
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). 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, and faculty), this workshop will help you become self-reliant in doing statistical analyses and to know:
1. The correct statistical procedures to analyze one's data
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. There will be four in-person (with zoom option) workshop sessions, with plenty of time to go over questions, clarifications, difficulties, etc.
Instructor:
Sekhar Ramakrishnan, ScD
Senior Research Scientist, Department of Pediatrics;
Statistician, Clinical Research Resource
Workshop Sessions:
Mondays November 14th – December 5th, 2022
From 2:00pm – 5:00pm
Registration Deadline: Friday, November 11, 2022 at 5:00pm
After registration is confirmed, additional information and materials will be shared
