TY - CHAP
M1 - Book, Section
TI - One-Way Analysis of Variance
A1 - Glantz, Stanton A.
A1 - Slinker, Bryan K.
A1 - Neilands, Torsten B.
PY - 2017
T2 - Primer of Applied Regression and Analysis of Variance, 3e
AB - People often wish to compare the effects of several different treatments on an outcome variable. Sometimes the different treatments are applied to different individuals, and sometimes all the experimental subjects receive all the treatments. Although commonly analyzed statistically with multiple t tests, such data should be analyzed using an analysis of variance, followed by an appropriate multiple comparisons procedure to isolate treatment effects.* Analyzing a single set of data with multiple t tests both decreases the power of the individual tests and increases the risk of reporting a false positive. In this chapter, we will analyze so-called completelyrandomizedexperiments, in which one observation is collected on each experimental subject, selected at random from the population of interest.†
SN -
PB - McGraw-Hill Education
CY - New York, NY
Y2 - 2021/05/13
UR - accessbiomedicalscience.mhmedical.com/content.aspx?aid=1141900041
ER -