RT Book, Section
A1 Glantz, Stanton A.
A1 Slinker, Bryan K.
A1 Neilands, Torsten B.
SR Print(0)
ID 1141899604
T1 Missing Data
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=1141899604
RD 2024/04/20
AB Missing  data  are  a  fact  of  research  life.  A  measuring  device  may  fail  in  an  experiment.  Survey  respondents  may  not  answer  questions  about  their  health  or  income  or  may  mark  “don’t  know”  or  “don’t  remember.”  In  longitudinal  studies,  research  participants  may  die  or  be  lost  to  follow-up.  Giving  careful  consideration  at  the  study-design  stage  for  how  to  minimize  missing  data  is  a  key  facet  of  a  well-designed  research  study,  but  even  the  best,  most  carefully  designed  studies  often  have  to  contend  with  missing  data.