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From |
"Jocelyn Crowley" <jocelync@rutgers.edu> |

To |
<statalist@hsphsun2.harvard.edu> |

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: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Stas Kolenikov Sent: Friday, October 29, 2010 3:11 PM To: statalist@hsphsun2.harvard.edu Subject: Re: st: MI IMPUTE MVN On Fri, Oct 29, 2010 at 2:14 PM, Jocelyn Crowley <jocelync@rutgers.edu> 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. * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/ * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**st: MI IMPUTE MVN***From:*"Jocelyn Crowley" <jocelync@rutgers.edu>

**Re: st: MI IMPUTE MVN***From:*Stas Kolenikov <skolenik@gmail.com>

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