IN-PERSON & VIRTUAL CONFERENCE 

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

I will teach:

How to use cufunctions (a package developed with Steve Holleran), within the popular (free) software R. cufunctions will, in nearly all situations, allow you to do your analysis with just a single R command: anova (one-way, covariance, two-way, repeated measures), parametrically or nonparametrically; linear or logistic regression; Kaplan-Meier, Cox modeling. A single command is also available to analyze hundreds of variables at a time as with -omics data. You can read more about our package at https://biomath.net/cufunctions.html  

I will also teach two easy-to-use webtools: 

1) One does power analysis:  https://biomath.net/power/

2) The other does 2x2 contingency tables, showing the way to draw the correct interpretation depending on the type of study that led to the 2x2 table being analyzed: https://biomath.net/stat/

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 review questions, clarifications, difficulties, and more!

Tuesdays from 2:00 - 5:00 pm EDT on March 24, March 31, April 7, April 14