Do you want to be self-reliant in doing statistical analyses?
Stats on Your Own is a non-credit hybrid course: six 2-hour lecture videos and three HyFlex (in-person or zoom) workshop sessions: Wednesdays 3-6pm, December 1, 8, 15, 2021
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:
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. The format is hybrid. Six video recordings of lectures, totaling about 12 hours (link provided upon payment). There will be three in-person (or zoom as you choose) workshop sessions to go over questions, clarifications, difficulties, etc – each session to go over two lecture recordings.
Cost: $100/registrant
Instructor: Sekhar Ramakrishnan ScD, Senior Research Scientist, Department of Pediatrics; Statistician, Clinical Research Resource
IN PERSON HYBRID option exists, contact below for details.
