RT Book, Section
A1 Glantz, Stanton A.
A1 Slinker, Bryan K.
A1 Neilands, Torsten B.
SR Print(0)
ID 1141901314
T1 Repeated Measures
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=1141901314
RD 2022/05/28
AB The  procedures  for  testing  hypotheses  discussed  in  Chapters  8  and  9  apply  to  experiments  in  which  the  control  and  treatment  groups  contain  different  subjects  (individuals).  In  contrast,  it  is  often  possible  to  design  experiments  in  which  each  experimental  subject  can  be  observed  before  and  after  one  or  more  treatments.  Such  experiments  gain  sensitivity  because  they  make  it  possible  to  measure  how  the  treatment  affects  each  individual.  When  the  control  and  treatment  groups  consist  of  different  individuals,  as  in  the  experimental  designs  we  have  introduced  so  far,  the  changes  brought  about  by  the  treatment  may  be  masked  by  variability  between  individual  experimental  subjects.  In  this  chapter  we  show  how  to  analyze  experiments  in  which  each  subject  is  observed  repeatedly  under  different  experimental  conditions.