Mixed models with repeated meassures

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Hi everyone

I eish someone can help me with this one

I have a sample of patients who went through bariatric surgery and their
weight at time 1,2,3,4 but with lots of missing data

so I opted for mixed model with repeated meassures using the following
syntax

DATASET ACTIVATE DataSet1.
MIXED peso BY time
  /CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1)
SINGULAR(0.000000000001) HCONVERGE(0,
    ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE)
  /FIXED=time | SSTYPE(3)
  /METHOD=REML
  /PRINT=SOLUTION.

and then

MIXED peso BY time
  /CRITERIA=CIN(95) MXITER(100) MXSTEP(10) SCORING(1)
SINGULAR(0.000000000001) HCONVERGE(0,
    ABSOLUTE) LCONVERGE(0, ABSOLUTE) PCONVERGE(0.000001, ABSOLUTE)
  /FIXED=time | SSTYPE(3)
  /METHOD=REML
  /PRINT=R SOLUTION TESTCOV
  /REPEATED=time | SUBJECT(code) COVTYPE(UN).

I wanted to confirm if it is the correct syntax and then ask how can I
aseses the variable of number of nutrition appointments if I want to know if
this is a significant predictor of weight loss.

Just on a linear regression of time 4 by time 1 and number of appointments?
or any suggestions

thanks

Karen

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关键词：mixed model Repeated Assure repeat models repeated

I don't have a lot of time to study your situation carefully right now, but from a quick glance, I think you might want to consider exploring covariance structures other than UN.  The material at the following links may be helpful.

• http://jonathantemplin.com/files/anova/ersh8310f09/ersh8310f09_lecture14.pdf
• http://www.ats.ucla.edu/stat/spss/faq/repeat_covar.htm
• http://www.youtube.com/watch?v=LKT4brBV-jo
  

I haven't viewed all of the last one.  He does not exit the dialogs via PASTE, but he does appear to explore using various covariance structures.

Bruce Weaver

https://mail.google.com/mail/ca/#search/mixed+models/144dfb453b90de22?projector=1