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Re: st: RE: Re: FW: ipolate and epolate - positive and integerDV
It might be possible to assess excess relative risk
rather than relative risk. You would add a one to the
relative risk before taking the natural log. If you
have to negative integers, this might solve your problem.
If you have negative integers less than -1, the problem
would remain unless you rescaled your measure.
- Bob Yaffee
Robert A. Yaffee, Ph.D.
Shirley M. Ehrenkranz
School of Social Work
New York University
2100 Linwood Ave.
Fort Lee, NJ
----- Original Message -----
From: Nick Cox <email@example.com>
Date: Monday, September 4, 2006 1:34 pm
Subject: st: RE: Re: FW: ipolate and epolate - positive and integer DV
> I don't know what you are doing downstream
> of this, but some commands will accept non-integers
> even when the variables "should be" integers.
> Samira Reis
> > Thank you for your suggestion Nick!
> > I had done the "logging, interpolating on the
> > logarithmic scale and then antilogging" before
> > following what you had suggested to another person in
> > the statalist some time ago. However, I thought it
> > couldn't work for me because after doing that, values
> > were not integer anymore, and my dependent variable is
> > a count.
> > But now you said also that decimals values may be not
> > such a problem, that is, "you would be less worried
> > about integer values yourself" then I will probably
> > round the interpolated values to integer.
> > Thank you very much!
> > Samira.
> > Samira Reis had difficulty sending this to the list.
> > My own suggestion -- so long as all values are
> > positive --
> > is that Samira should consider logging, interpolating
> > on the logarithmic scale and then antilogging.
> > Or take square roots -- that doesn't ensure positive
> > values either, but there are several grounds for
> > regarding square roots as "first aid" (Tukey) for
> > count.
> > I would be less worried about integer values myself.
> > Nick
> > firstname.lastname@example.org
> > Samira Reis [mailto:email@example.com]
> > Hi Stata users,
> > I have a data set from 1980 to 2003 with some missing
> > values for both
> > dependent and independent variables. I tried using
> > ipolate command in
> > stata to get values and I used:
> > by reg: ipolate ent year, gen (ient) epolate.
> > The problem was that I obtained quite a few negative
> > values and my
> > variables can not be negative and my dependent
> > variable must be integer
> > as well. Could anybody help me to find out a
> > correct way to deal with that, please?
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