Hello,
I´m trying to obtain the geometric means and 95% CI with the eform option of regress. I´m working with log-transformed biomarkers and 3 eating groups. I have read the "Stata tip 1: The eform() option of regress" from Newson, 2003 but have problems working with it.
This is my syntax:
regress lnglucose w17age w17sex i.eatinggroup, noconstant eform(GM/Ratio) robust
-----------------------------------------------------------------------------
| Robust
lnglucose | GM/Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
w17age| 1.001799 .0002353 7.65 0.000 1.001338 1.002261
w17sex | .7707707 .0082473 -24.33 0.000 .7547574 .7871237
|
eatinggroup |
2 | 1.003426 .0122826 0.28 0.780 .9796131 1.027817
3 | 1.004425 .0145342 0.31 0.760 .9763085 1.033351
------------------------------------------------------------------------------
My question is, how do I obtain the geometric means of the 3 eating groups from the regress command? Is there another way?
thanks
I´m trying to obtain the geometric means and 95% CI with the eform option of regress. I´m working with log-transformed biomarkers and 3 eating groups. I have read the "Stata tip 1: The eform() option of regress" from Newson, 2003 but have problems working with it.
This is my syntax:
regress lnglucose w17age w17sex i.eatinggroup, noconstant eform(GM/Ratio) robust
-----------------------------------------------------------------------------
| Robust
lnglucose | GM/Ratio Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
w17age| 1.001799 .0002353 7.65 0.000 1.001338 1.002261
w17sex | .7707707 .0082473 -24.33 0.000 .7547574 .7871237
|
eatinggroup |
2 | 1.003426 .0122826 0.28 0.780 .9796131 1.027817
3 | 1.004425 .0145342 0.31 0.760 .9763085 1.033351
------------------------------------------------------------------------------
My question is, how do I obtain the geometric means of the 3 eating groups from the regress command? Is there another way?
thanks
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