TY  - CHAP
M1  - Book, Section
TI  - Preface
A1  - Glantz, Stanton A.
A1  - Slinker, Bryan K.
A1  - Neilands, Torsten B.
Y1  - 2017
N1  - 
T2  - Primer of Applied Regression and Analysis of Variance, 3e
AB  - None  of  us  are  formally  trained  as  statisticians.  We  arrived  at  our  common  interest  in  applications  of  statistics  to  biomedical  data  analysis  from  quite  different  backgrounds.  We  each  first  encountered  multiple  regression  as  graduate  students.  For  one  of  us  it  was  a  collaboration  with  a  political  science  graduate  student  and  volunteer  from  Common  Cause  to  analyze  the  effects  of  expenditures  on  the  outcomes  of  political  campaigns  in  California*  that  sparked  the  interest.  For  another,  it  was  a  need  to  quantify  and  unravel  the  multiple  determinants  of  the  way  the  heart  responded  to  a  sudden  change  in  blood  pressure.†  And,  for  the  third,  it  was  graduate  coursework  exposure  to  correlation,  regression,  and  analysis  of  variance  and  covariance  framed  as  specific  cases  of  the  general  linear  model  then  applied  to  a  diverse  array  of  disciplines,  from  psychology  to  nursing  research.  This  book  in  applied  analysis  of  real  problems,  as  opposed  to  developing  new  statistical  theories.  
SN  - 
PB  - McGraw-Hill Education
CY  - New York, NY
Y2  - 2024/04/19
UR  - accessbiomedicalscience.mhmedical.com/content.aspx?aid=1141896798
ER  -