RT Book, Section
A1 Howell, Michael D.
A1 Stevens, Jennifer P.
SR Print(0)
ID 1167644901
T1 Everyday Analytics
T2 Understanding Healthcare Delivery Science
YR 2020
FD 2020
PB McGraw-Hill Education
PP New York, NY
SN 9781260026481
LK accessmedicine.mhmedical.com/content.aspx?aid=1167644901
RD 2024/04/24
AB Make  sure  to  read  this  chapter  carefully:  The  tools  presented  here  are  the  basic  building  blocks  for  all  of  our  future  work  in  this  book.  We  will  cover  how  to  describe  data,  how  to  begin  to  compare  data,  how  to  look  at  data  over  time,  and  some  fundamental  principles  of  the  display  of  data.  Each  of  these  steps  are  the  first  steps  toward  more  complex  data  analytics  presented  in  subsequent  chapters.  Every  time  we  move  from  a  single  piece  of  data  to  some  method  of  summarizing  a  collection  of  data,  we  make  assumptions.  If  our  assumptions  are  wrong,  the  truth  may  be  lost  in  the  noise.  Even  worse,  if  we  make  inappropriate  assumptions  at  this  level,  in  our  building-block  summary  statistics  and  preliminary  comparisons,  these  errors  will  get  compounded  when  we  begin  to  employ  the  kind  of  larger  and  more  complex  models  described  in  the  later  chapters  of  this  part  of  the  book.