RT Book, Section
A1 Glantz, Stanton A.
A1 Slinker, Bryan K.
A1 Neilands, Torsten B.
SR Print(0)
ID 1141900041
T1 One-Way Analysis of Variance
T2 Primer of Applied Regression and Analysis of Variance, 3e
YR 2017
FD 2017
PB McGraw-Hill Education
PP New York, NY
SN 9780071824118
LK accessbiomedicalscience.mhmedical.com/content.aspx?aid=1141900041
RD 2024/04/20
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.†