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From |
Steve Samuels <sjsamuels@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Partial F Test on a Multiple Imputed Set |

Date |
Mon, 27 May 2013 12:35:12 -0400 |

The solution can be found in the Manual Entry for -mi test-, in particular Example 2: Testing Linear Hypotheses. Steve On May 27, 2013, at 11:09 AM, Eduardo Moreira wrote: Dear all, I am sorry if this has been asked before, but I searched and couldn't find the answer to this question. Say you want to compare 2 regression models on the same dependent variable Y. The second model contains 2 dummy variables, D1 and D2. - Model A: Y = b0 + bX - Model B: Y = b0 + bX + bD1 + bD2 usually what I would do is: regress Y X D1 D2 test D1 + D2 == 0 So far, so good, right? The problem I run into is when I try to do the same with a mulitple imputed set. I run the following commands: mi estimate: regress Y X D1 D2 mi test D1 + D2 == 0 The regression works fine, but test part doesn't. It gives the following error message: "=exp not allowed". Is there some way to perform this Partial F-test on a MI set? Thanks, Eduardo Moreira * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/faqs/resources/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/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/

**References**:**st: Partial F Test on a Multiple Imputed Set***From:*Eduardo Moreira <edumartelli@gmail.com>

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