​​Join Ramji Srinivasan, our CEO and Cofounder, for a quick tutorial on statistics in cytometry. We’ll start with a breakdown of different types of statistical tests. In this section, we’ll cover paired vs. unpaired tests, parametric vs. non-parametric tests, and two-group vs. multi-group comparisons. After, we’ll explain how to approach selecting a test given the characteristics of your data. Lastly, we’ll cover what statistical significance is, how to apply multiple test corrections (SAMR) to reduce false discovery rates, and how to apply these methodologies to a dummy dataset.
00:00 Introduction
01:18 Paired v. Unpaired
02:46 Two-Group v. Multi-group
03:48 Parametric v. Non-Parametric
04:22 How to Choose a Test
05:20 Multiple Test Corrections
07:30 Wrapping Up
#statistics #lifesciences #immunotherapy #clinicaltrial #parametric #t-test #dataanalysis #statisticaltest
Like what you see? Follow us for more topics in cytometry!
www.linkedin.com/company/teiko-bio/
TeikoBio