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

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: Re: st: RE: AW: ratio function |

Date |
Fri, 2 Apr 2010 08:58:02 -0400 |

Roman Perhaps we misunderstand what you are asking for. I We have been assuming that you want the ratio of the means of two variables ("columns"?) measured possibly on the same person. Perhaps you want the ratio of the means of one variable for two subpopulations. Both analyses will ignore missing values. If this is not what you desire, then please demonstrate by hand what you do want on a small, non-survey data set.. Also I'd like to know which R function does what are asking for The following do file computes the ratio of means with CI and then does the same for the log ratio and transforms to the original scale. -Steve **************************CODE BEGINS************************** capture program drop _all program antilog local lparm el(r(b),1,1) local se sqrt(el(r(V),1,1)) local bound invttail(e(df_r),.025)*`se' local parm exp(`lparm') local ll exp(`lparm' - `bound') local ul exp( `lparm' + `bound') di "parm =" `parm' " ll = " `ll' " ul = " `ul' end sysuse auto, clear svyset _n svy: mean mpg, over(foreign) nlcom (myratio1: _b[Domestic]/_b[Foreign]) //ratio nlcom (myratio2: log(_b[Domestic]/_b[Foreign])) // log ratio // Confidence interval of last -nlcom- on antilog scale antilog ***************************CODE ENDS*************************** . On Fri, Apr 2, 2010 at 2:37 AM, Roman Kasal <kasal@trexima.cz> wrote: > I don't agree...so how to do it when you want to find out ratio between > years, male X female, ...? So there is no solution? Just to keep N,mean, > SE, degrees of freedom, N_strata, N_psu, .... and calculate it manually? > I think it is not appropriate solution, at least to have it as an > option. I think there is missing a lot with complex survey in Stata and > complex survey is needed for almost every survey research, even freeware > R-project is better equipped :( > > so have a hope Stata will get it soon....immediately we are buying it > again :) > >> >> > And it should. Data (x,y) (1,2) (2,4) (3,6) (100,.) will give an > entirely different view of the data if the unpaired observation is > included in a mean or ratio calculation. Or consider data with x > missing in half the pairs and y missing in the other half; the ratio > of means would be meaningless. > > The formulas for standard errors for ratios assume that the data are > paired. Formally, they are based on the residual MSE of a regression > of y on x through the origin. You cannot do that regression with > unpaired data. > > If your concern is missing data, the solution is to impute the missing > values before analysis. > > Steve > > > * > * 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/ > -- Steven Samuels sjsamuels@gmail.com 18 Cantine's Island Saugerties NY 12477 USA Voice: 845-246-0774 Fax: 206-202-4783 * * 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**:**RE: Re: st: RE: AW: ratio function***From:*"Roman Kasal" <kasal@trexima.cz>

**RE: Re: st: RE: AW: ratio function***From:*"Roman Kasal" <kasal@trexima.cz>

**References**:**Re: Re: st: RE: AW: ratio function***From:*"Roman Kasal" <kasal@trexima.cz>

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