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From |
Lok Wong <lokwongedu@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: How to calculate standardized difference in means with survey weighted data? |

Date |
Sun, 4 Mar 2012 19:45:43 -0500 |

I need to calculate the standardized bias (the difference in means divided by the pooled standard deviation) with survey weighted data using STATA. I am comparing the means of 2 groups (Y: treatment and control) for a list of X predictor variables. The purpose is to evaluate differences before and after propensity score weighting (not matching so I cannot use PSMATCH2 or other similar packages). This is as far I got: svy: mean X, over (Y) estat sd lincom [X]1 - lincom [x]0 I calculated the means by treatment/control groups. Then obtained the standard deviations for each means (as the SE is reported by svy: means) I used lincom to obtain the difference in means from the svy post-estimation results. How do I now extract the stored standard deviations for the 2 means, so I can divide the difference in means by the pooled standard deviation? I need to do this twice for 20 variables, so I don't want to just read the output results and calculate by hand. Any suggestions? I did see an earlier posting (from 2005) on Standardized Response Mean, but the suggested code (diff in change score / sd of change score) does not address how to use survey weighted data. Thanks! Lok Wong Samson Doctoral Candidate JHSPH lokwongedu@gmail.com * * 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/

**Follow-Ups**:**st: RE: How to calculate standardized difference in means with survey weighted data?***From:*"Scholes, Shaun" <s.scholes@ucl.ac.uk>

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