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From |
"Jocelyn Crowley" <[email protected]> |

To |
<[email protected]> |

Subject |
RE: st: MI IMPUTE MVN |

Date |
Fri, 29 Oct 2010 15:43:30 -0400 |

```
Dear Stas:-
Thank you very much for your help. I appreciate your taking the time to
answer my questions.
My data set is small, but my problem is missing values. I have about 441
observations from a random sample survey with (data includes weights), but
casewise deletion results in only 340 cases. I am using the data to
generate 4 logit models. Some of my missing data are dummy variables. I
would like to 1) generate summary statistics for my data (means, ranges,
standard deviations), 2) generate 4 logit models, 3) calculate predicted
probabilities given certain values of the independent variables. I just
don't know how to handle the missing value problem, and am open to
suggestions.
I would like to know how much you charge for consulting, and how you might
be able to help me. I do not have grant money now, but would like to know
what your rate is anyway.
Thanks!
Jocelyn
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Stas Kolenikov
Sent: Friday, October 29, 2010 3:11 PM
To: [email protected]
Subject: Re: st: MI IMPUTE MVN
On Fri, Oct 29, 2010 at 2:14 PM, Jocelyn Crowley <[email protected]>
wrote:
> 1. If I will be using weights with my data when I run mi estimate
logistic
> commands, do I need to direct Stata to consider these weights when I first
> run mi impute mvn? If so, how?
If it's not in the syntax diagram, then you cannot do this. I think
-ice- suite by Patrick Royston supports weights. If you have complex
survey data, then MI gives wrong answers, anyway. You'd need to go
into considerable lengths to make that right.
> 2. I would like to calculate means and standard deviations for my imputed
> data. mi estimate means calculates the means, but not the standard
> deviations of the variables. How do I do this manually?
You would generate the squares of your variables. I think there's a
debate as to whether they need to be passive or imputed variables.
Either the MI manual or Royston's papers address this issue.
> 3. Once I obtain my mi estimate logistic model, how can I manually
> calculate predicted probabilities given certain values of the independent
> variables? Do I need to do this by hand, given the model's coefficients?
You would probably need to generate a set of predicted probabilities
for every set of imputed values, and then aggregate them. That's a
working solution; I cannot say whether it is a conceptually valid
solution.
--
Stas Kolenikov, also found at http://stas.kolenikov.name
Small print: I use this email account for mailing lists only.
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```

**References**:**st: MI IMPUTE MVN***From:*"Jocelyn Crowley" <[email protected]>

**Re: st: MI IMPUTE MVN***From:*Stas Kolenikov <[email protected]>

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