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: six 2-hour lecture videos and four in-person workshop sessions (with zoom option) on Tuesdays :
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April 12, 2022 - 3:00 pm - 6:00 pm
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April 19, 2022 - 3:00 pm - 6:00 pm
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April 26, 2022 - 3:00 pm - 6:00 pm
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May 3, 2022 - 3:00 pm - 6:00 pm
Registration Deadline April 11, 2022 by 5:00 pm
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. 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. Six video recordings of lectures, totaling about 12 hours (link provided upon payment). There will be four in-person (zoom option) workshop sessions to go over questions, clarifications, difficulties, etc – we will take the time to ensure that everyone learns how to carry out each of the analyses covered.
Instructor:
Sekhar Ramakrishnan, ScD
Senior Research Scientist
Department of Pediatrics, Statistician
Clinical Research Resource
For full details please visit: Stats on Your Own - Four Sessions to Self Reliance
