RT Book, Section
A1 Johnson, Ken B.
SR Print(0)
ID 1103963220
T1 Origin of Mathematical Models for Anesthetic Drug–Drug Interactions
T2 Clinical Pharmacology for Anesthesiology
YR 2015
FD 2015
PB McGraw-Hill Education
PP New York, NY
SN 9780071736169
LK accessanesthesiology.mhmedical.com/content.aspx?aid=1103963220
RD 2024/04/16
AB Modeling  is  the  technique  of  defining  a  mathematical  equation  that  fits  a  data  set  as  accurately  as  possible.  Linear  regression  could  be  considered  as  a  rudimentary  form  of  modeling.  A  linear  regression  analysis  of  a  data  set  determines  the  best-fitting  linear  correlation  between  data  couples  by  minimizing  the  sum  of  squares  of  all  perpendicular  distances  from  each  observation  to  the  proposed  line  (least-squares  principle).  As  such,  the  optimal  value  for  parameters  a  and  b  in  an  equation  of  the  form  y  =  a  ⋅  x  +  b  can  be  determined  from  an  observational  data  set.  The  resulting  linear  equation  describes  the  correlation  of  the  data  couples  within  the  population  with  the  least  possible  scatter  (or  residual  error).  Consequently,  the  resulting  equation  can  be  used  to  predict  prospectively  which  y  can  be  expected  for  every  known  x,  with  the  smallest  possible  error.