May 2018 Member Webinar – Adjustments for Multiple Testing: When and How to Handle Multiplicity

by guest

 A research study rarely involves just one single statistical test. And multiple testing can result in more statistically significant findings just by chance.

After all, with the typical Type I error rate of 5% used in most tests, we are allowing ourselves to “get lucky” 1 in 20 times for each test.  When you figure out the probability of Type I error across all the tests, that probability skyrockets.

There are a number of ways to control for this increase in chance significance. And as with most things statistical, determining a viable adjustment to control for the chance significance depends on what you are doing. Some approaches are good. Some are not so good. And, sometimes an adjustment isn’t even necessary.

In this webinar, Elaine Eisenbeisz will provide an overview of multiple comparisons and why they can be a problem.

She will explain the differences between family wise error rate (FWER) and false discovery rate (FDR). She also will present many options for adjusting statistical tests and explain why pre-planning the corrections, if any, for your study is paramount to a robust research study.

Note: This webinar is only accessible to members of the Statistically Speaking Membership Program.

Date and Time

Wednesday, May 16, 2018
3 pm – 4:30 pm (US EDT) (In a different time zone?)

About the Instructor

Elaine Eisenbeisz is a private practice statistician and owner of Omega Statistics, a statistical consulting firm based in Southern California.Elaine has over 30 years of experience in creating data and information solutions. She designs methodology and analyzes data for studies in the clinical, and biotechnology fields. Additionally, Elaine and Omega Statistics are the go-to resource for ABD students who require assistance with dissertation methodology and analysis.

Throughout her tenure as a private practice statistician, Elaine has published work with researchers and colleagues in peer-reviewed journals. Fitting of her eclectic tastes, her current interests include statistical genetics and psychometric survey development.

Elaine earned her B.S. in Statistics at UC Riverside and her Master’s Certification in Applied Statistics from Texas A&M. She is currently finishing her graduate studies at Rochester Institute of Technology. Elaine is a member in good standing with the American Statistical Association and a member of the Mensa High IQ Society.

Not a Member Yet?

It’s never too late to join the hottest stats club around.

Just head over to our enrollment page to sign up for Statistically Speaking.

You’ll get exclusive access to this month’s webinar, plus live Q&A sessions, a private stats forum, 60+ video recordings of past webinars, and more.

[adrotate banner=”1″]

Leave a Comment

Please note that, due to the large number of comments submitted, any comments on problems related to a personal study/project will not be answered. We suggest joining Statistically Speaking, where you have access to answers and more resources 24/7.

Previous post:

Next post: