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Re: st: Multiple imputation for longitudinal data
From
Austin Nichols <[email protected]>
To
[email protected]
Subject
Re: st: Multiple imputation for longitudinal data
Date
Fri, 3 Dec 2010 12:30:19 -0500
Eduardo Nunez <[email protected]>:
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 <[email protected]> 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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