Example of how MBI results can be re-interpreted by one-sided minimal effects testing and noninferiority testing with α = .05a.

Example of how MBI results can be re-interpreted by one-sided minimal effects testing and noninferiority testing with α = .05<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0235318#t004fn001" target="_blank">a</a>....

Full description

Saved in:

Bibliographic Details
Main Author:	Keith R. Lohse (9033968) (author)
Other Authors:	Kristin L. Sainani (8173362) (author), J. Andrew Taylor (9033971) (author), Michael L. Butson (9033974) (author), Emma J. Knight (9033977) (author), Andrew J. Vickers (9033980) (author)
Published:	2020
Subjects:	Medicine Biotechnology Sociology Science Policy Mathematical Sciences not elsewhere classified hypothesis significance testing sample size MBI criterion Median sample size medicine Magnitude-based inference sports science IQR error rates
Tags:	Add Tag No Tags, Be the first to tag this record!

Example of how MBI results can be re-interpreted by one-sided minimal effects testing and noninferiority testing with α = .05<sup>a</sup>.

Similar Items