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Re: st: Multiple imputation for longitudinal data


From   Austin Nichols <austinnichols@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Multiple imputation for longitudinal data
Date   Fri, 3 Dec 2010 12:30:19 -0500

Eduardo Nunez <enunezb@gmail.com>:
Can you tell us what kind of data these are?
It looks like you have very severe attrition, and
depending on the data you may want a hazard model,
possibly assuming uninformative censoring,
which might be simple to implement and require no imputation,
or you may believe that censoring is informative,
and either imputation or a hazard model would require untenable assumptions.

On Fri, Dec 3, 2010 at 12:20 PM, Eduardo Nunez <enunezb@gmail.com> wrote:
> Based on what you wrote, I imagine Stata hasn't implemented these
> methods ( that utilize the
> monotonicity of monotonicity).
> Would you guide me to the software that has these estimation methods.
> Do you know if it is implemented in R?

>> >>> Distribution of T_i:   min      5%     25%       50%       75%     95%     max
>> >>>                         1       1       1         2         3       6      12
>> >>>
>> >>>     Freq.  Percent    Cum. |  Pattern
>> >>>  ---------------------------+--------------
>> >>>      650     45.39   45.39 |  1...........
>> >>>      359     25.07   70.46 |  11..........
>> >>>      202     14.11   84.57 |  111.........
>> >>>       91      6.35   90.92 |  1111........
>> >>>       52      3.63   94.55 |  11111.......
>> >>>       44      3.07   97.63 |  111111......
>> >>>       11      0.77   98.39 |  1111111.....
>> >>>        9      0.63   99.02 |  11111111....
>> >>>        6      0.42   99.44 |  111111111...
>> >>>        4      0.28   99.72 |  1111111111..
>> >>>        3      0.21   99.93 |  11111111111.
>> >>>        1      0.07  100.00 |  111111111111
>> >>>  ---------------------------+--------------
>> >>>     1432    100.00         |  XXXXXXXXXXXX
>> >>>

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