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From |
David Kantor <kantor.d@att.net> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Combining multiple imputation with propensity score matching |

Date |
Tue, 02 Mar 2010 12:24:12 -0500 |

Hi.

select the best candidate for the given primary case;

HTH --David At 11:17 AM 3/2/2010, John E. Cornell wrote:

Dear Stata Folks:I have a large, and somewhat complicated multi-site dataset, thatrequires the use of multiple imputation to fill-in missing labvalues that I need to generate propensity scores for three classesof drugs. I used the new multiple imputation procedure based onmultivariate normal regression to fill-in the missing lab values. Wecreated 20 imputed datasets if the flong format, and used logisticregression to compute and save the propensity scores in logit formwithin each imputed set. We used mahapick to select to match cases(being on one or more of the three agents) to controls (never on anyof the three agents). This worked well, but there are two problemswe encountered at this stage. First, the procedure selects theclosest match actual distance may be very large so we needed to editthe matches to maintain a subset of cases with reasonable closeness.Second, the procedure may match the same control to more than onecase, so we needed to restrict the sample to unique matches.Finally, the number of matches varied between imputed sets.It does not appear that the mi estimate command can handle thissituation. So, we are left with the prospect of writing our own codeto compute and combine the model estimates. We are relatively noviceStata programmers at the moment, and we would welcome anysuggestions, references, etc. that the Stata community could providethat will help us solve this problem.Cheers, John E. Cornell, Ph.D. Professor Department of Epidemiology and Biostatistics University of Texas Health Science Center, San Antonio 7703 Floyd Curl Drive San Antonio, Texas 78229-3900 [...]

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**Follow-Ups**:**Re: st: Combining multiple imputation with propensity score matching***From:*Austin Nichols <austinnichols@gmail.com>

**References**:**st: Combining multiple imputation with propensity score matching***From:*"Cornell, John E" <cornell@uthscsa.edu>

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