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From |
"Yam, Eileen A." <eyam@jhsph.edu> |

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

Subject |
st: prtab/prvalue: compare predicted probabilities across values of X |

Date |
Sun, 5 Feb 2012 13:45:13 -0500 |

I am running a multinomial logistic regression (for a four-value outcome 'conmix') and I would like to assess whether predicted probabilities for each of the four possible outcomes vary across four age categories ('agecat4'). I understand how to estimate the predicted probabilities themselves, but if I would like to test whether those predicted probabilities for a given outcome are significantly different across age categories, what is the most efficient way to do this? So far, I've done: quietly xi:mlogit conmix i.zone i.agecat4 i.kidscat i.educat2 i.inc_cat prevhiv i.i_newmocat i.i_regmocat i.part_mocat anycondfail, base(0) rrr prvalue, x(_Iagecat4_2==0 _Iagecat4_3==0 _Iagecat4_4==0) prvalue, x(_Iagecat4_2==1) prvalue, x(_Iagecat4_3==1) prvalue, x(_Iagecat4_4==1) This gives me the predicted probability of each of the four outcomes within each of the four age categories. But how can I test for whether the predicted probabilities are significantly different across age categories? For example, if I wanted to say that the predicted probability of outcome 1 was significantly different across all age categories (i.e., a global test), how would I test this? Then, if I wanted to say that the predicted probability of outcome 1 was higher for age category 1 compared to age category 2, how would I test this? Many thanks, Eileen * * 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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