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Dear professor Muthen
I want to characterize longitudinal body mass index (BMI) trajectories before incident of hypertention and examine the impact of level-independent BMI trajectories on hypertension risk.
I am using I am using data from the longitudinal cohort. Data includes 6 different phases .Phase 1 has a span of (1993-1996) and is following at 5 subsequent phases with three-year intervals. We included individuals with age (20 to 37 ) at baseline and we have 5 fallowups so our participates at fallowup 1 are at ( 23to 40 ) and at fallowup2 are (26to 43)and ........until fallow up 5.In fact, the interval between each phase is three years
I WANT TO USE TIMESCORE COMMAND AND I read the example6.12 on the Mplus User's Guide
DATA noushin.dat;
VARIABLE: NAMES ARE BMI1-BMI6 sex age1-age6
TSCORES = age1-age6;
ANALYSIS TYPE = RANDOM;
MODEL: i s | BMI1-BMI6 ;
st | BMI1 ON age1;
st | BMI2 ON age2;
st | BMI3 ON age3;
st | BMI4 ON age4;
st | BMI5 ON age5;
st | BMI6 ON age6;
i s st ON sex;
BUT I THINK IT IS NOT CORRECT
WOULD YOU PLEASE HELP ME |
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| You are not following ex6.12. Note that is uses "AT" and does not use st |.... |
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Dear professor Muthen this is the example6.12 on the Mplus User's
DATA: FILE IS ex6.12.dat;
VARIABLE: NAMES ARE y1-y4 x a21-a24 a11-a14;
TSCORES = a11-a14;
ANALYSIS: TYPE = RANDOM;
MODEL: i s | y1-y4 AT a11-a14;
st | y1 ON a21;
st | y2 ON a22;
st | y3 ON a23;
st | y4 ON a24;
i s st ON x;
in my study The continuous variable(BMI) is measured in 6 times AND i have age1-
age6
you mean I should correct my syntax in
this way
VARIABLE: NAMES ARE BMI1-BMI6 sex age1-age6
TSCORES = age1-age6;
ANALYSIS TYPE = RANDOM;
MODEL: i s | BMI1-BMI6 AT age1-age6 ;
st | BMI1 ON age1;
st | BMI2 ON age2;
st | BMI3 ON age3;
st | BMI4 ON age4;
st | BMI5 ON age5;
st | BMI6 ON age6;
i s st ON sex; |
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All you need is
VARIABLE: NAMES ARE BMI1-BMI6 sex age1-age6
TSCORES = age1-age6;
ANALYSIS TYPE = RANDOM;
MODEL: i s | BMI1-BMI6 AT age1-age6 ;
The st lines of ex 6.12 are for time-varying covariates which I don't think you have. If you are unclear about this, study our Short Course Topic videos and handouts for Topics 3 and 4. |
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Thanks for your help
I changed the syntax to thisI would be very grateful if you could check it out
DATA: FILE IS total_final_mplus_age.dat;
VARIABLE: NAMES ARE id sex age1-age6 bmi1-bmi6;
USEVARIABLES ARE age1-age6 bmi1-bmi6;
TSCORES = age1-age6;
IDVARIABLE = id;
CLASSES = c(3);
MISSING ARE ALL (99999);
ANALYSIS:
TYPE = MIXTURE;
STARTS (1000, 40);
STITERATIONS (40);
MODEL:
%OVERALL%
i s| bmi1@0 bmi2@1 bmi3@2 bmi4@3 bmi5@4 bmi6@5;
ANALYSIS: TYPE = RANDOM;
MODEL: i s | bmi1-bmi6 AT age1-age6 ;
OUTPUT:
SAMPSTAT TECH1 TECH8 TECH11 TECH14;
PLOT:
SERIES is bmi1-bmi6(s);
TYPE = PLOT3; |
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| BMI and age are continuous variables in my data and they are measured for 6 time points |
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| You show 2 Analysis commands and 3 Model commands which is confusing. |
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