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From |
Austin Nichols <[email protected]> |

To |
[email protected] |

Subject |
Re: st: Which command to test whether proportions of categories are the same in two sets of people? |

Date |
Wed, 27 Jan 2010 11:41:24 -0500 |

Jen Zhen <[email protected]> : You've gotten advice on testing equality of means/proportions one by one, but let me urge you to do a joint test. Categorical variables can be broken into dummy variables (all but one category turned into that many dummies), and then you can use -hotelling- to test equality of all relevant means (AKA proportions for dummy variables) across treatment and control. This is commonly called a test of balance, and Hotelling's test can also be done using a regression of a treatment dummy on all variables whose means should be equal across groups, which suggests natural generalizations using e.g. various robust VCEs: http://www.stata.com/statalist/archive/2009-02/msg01191.html On Wed, Jan 27, 2010 at 10:34 AM, Jen Zhen <[email protected]> wrote: > Hi there, > > I have a summary table with members from (1) the treatment group and > (2) the control group of an experiment, and would like to provide for > each observable variable a formal test for whether the two sets of > people come indeed from the same population. For the continuous normal > variables, I am just doing a t-test to test for equality of means, but > I'm not fully sure what to do instead for the categorical variables > (with more than 2 categories). > > I found the -csgof- command for a Chi-Square test of whether the > proportions of the different categories in one sample correspond to > those coming from some hypothesis, but which command would you use to > test whether the proportions in the two groups are identical? > > Thanks, > J * * 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/

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