Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
From | Steve Samuels <sjsamuels@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: proportion confidence intervals <0 and >1 in MI SVY |
Date | Tue, 11 May 2010 10:46:56 -0400 |
I don't have an -mi- example, but here is an example with plain -svy: prop- -Steve ************CODE BEGINS*********** capture program drop _all program backlogit nlcom log($parm/(1-$parm)) scalar lparm = el(r(b),1,1) scalar se = sqrt(el(r(V),1,1)) scalar bound = invttail(e(df_r),.025)*se scalar ll = exp(lparm -bound*se) scalar ul = exp(lparm +bound*se) scalar ll = ll/(1+ll) scalar ul = ul/(1+ul) di %9.4f $parm %9.4f ll %9.4f ul end sysuse auto,clear svyset _n svy: prop rep78 global parm _b[1] backlogit ********CODE ENDS********************* On Tue, May 11, 2010 at 8:44 AM, Paul Shattuck <pshattuck@wustl.edu> wrote: > Hi, > > I am analyzing imputed survey data using the MI SVY estimation commands. I am estimating proportions and requesting confidence intervals (syntax below). However, many of the confidence intervals are falling outside of 0,1 bounds. The tab confidence intervals available in plain SVY (without MI) are generated using a logistic transform that prevents this problem. However, the tab procedure is not available in MI estimation. > > Can anyone suggest a work-around that will let me obtain proportion confidence intervals in MI SVY estimation that remain within the 0,1 bounds? > > mi estimate: svy, subpop(if var1==1): proportion var2 > > Thank you, > > Paul > > > > > > * > * 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/