Null Hypothesis Significance Testing (NHST) Framework

The NHST framework is one of the most popular modern frameworks for statistical inference. It evolved as a strange fusion of Fisher's p-values and Neyman-Pearson's hypothesis testing approach, truly satisfying neither camp (and, honestly, leading to our subtle, but confusing, framework for much of frequentist analysis today). This lecture discusses NHST, the framework we will use for most of the rest of the semester.

A video for the Biostatistical Methods I (BIOS 6611) course in the Department of Biostatistics and Informatics at the University of Colorado-Anschutz Medical Campus taught by Dr. Alex Kaizer. Slides and additional material available at https://www.alexkaizer.com/bios_6611.

Table of Contents:

00:00 - Intro Song
00:18 - Welcome
01:07 - Fisher vs. Neyman-Pearson
02:51 - NHST
14:39 - Conclusion and Alternatives