Date:         Thu, 10 May 2007 14:46:49 +0600
Reply-To:     samir <samir@siriusbd.com>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         samir <samir@siriusbd.com>
Subject:      Re: Methodology?
Content-Type: text/plain; format=flowed; charset="iso-8859-2";
              reply-type=original

Dear Fred:

I am sorry as I could not understand that he was actually joking and was
trying to reply him. Hope you have seen my stupidity by now.

Samir
----- Original Message -----
From: "Frederic Villamayor Forcada" <fvillamayor-research@ferrergrupo.com>
To: <SPSSX-L@LISTSERV.UGA.EDU>
Sent: 10 May, 2007 1:21 PM
Subject: Re: Methodology?


What kind of joke is that?


Frederic Villamayor, BS
Researcher
Biostatistics Unit
Juan de Sada, 32
08028 Barcelona
Tel    +34 935093236
Fax   +34 934112764
fvillamayor-research@ferrergrupo.com
http://www.ferrergrupo.com

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Don Asay <donald.asay82@gmail.com>
Enviado por: "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
09/05/2007 19:43
Por favor, responda a
Don Asay <donald.asay82@gmail.com>


Para
SPSSX-L@LISTSERV.UGA.EDU
cc

Asunto
Re: [SPSSX-L] Methodology?






You know for the kinds of conclusions you want to draw, a true experiment
is
always the best way to get the information. If decide to do an experiment
you could get some volunteers, (pregnant women) and randomly divide them
into two groups. Give one group the ilicit addictive substances and use
the
other as the control group. You would know for certain the effects these
drugs have on the child.

I am not entierly sure, but there may be some ethical issues surrounding
this type of experiment... O shoot I'm late for my IRB meeting, got to go.

Don


On 5/9/07, Melissa Ives <mives@chestnut.org> wrote:
>
> You may want to look into using propensity scoring to find a comparable
> group of women from the 20000 to use as the comparison group.  The idea
is
> to balance groups.  Briefly, you would identify characteristics of the
women
> that would predict their likelihood of being in the addicted group of
> 25.  Create this 'propensity for being in the addicted group' score for
the
> 20000 women, and select a group from there that closely matches your 25
> addicted women.
>
> For more information about how this works, see:
> Luellen, J.K, Shadish, W.R., Clark, M.H. (2005) Propensity Scores: An
> Introduction and Experimental Test. Evaluation Review 29(6): 530-558.
> http://intl-erx.sagepub.com/cgi/content/abstract/29/6/530
>
> Melissa
>
> -----Original Message-----
> From: SPSSX(r) Discussion [mailto:SPSSX-L@LISTSERV.UGA.EDU] On Behalf Of
> samir
> Sent: Wednesday, May 09, 2007 2:07 AM
> To: SPSSX-L@LISTSERV.UGA.EDU
> Subject: Re: [SPSSX-L] Methodology?
>
> Hi!
>
> I suppose looking at the differences between readings from two groups of
> this kinda disproportionate samples is not worthless as long as the two
> groups concerned are stable within the groups. You have mentioned that
the
> counter part of the 25 women were addicted to certain drugs, so you
should
> look into the homogeneity of their cases. If they are, this small group
also
> give you consistent readings whatever you are interested to look into
across
> the groups. Though 25 against 20,000 seems to be unparallel - we will
have
> to accept the scarcity of the later case ( I guess that is the situation
-
> not too many pregnant women come with drug addiction!)
>
> What you can do if the question still remains is you can try to increase
> the sample from 25 to 30 plus. If you can raise this to 50 to 100 -
nothing
> like it.
>
> Regards,
> Samir Kr Paul
>
> ----- Original Message -----
> From: "Samir Omeroviĉ" <samir.omerovic@gfk.ba>
> To: <SPSSX-L@LISTSERV.UGA.EDU>
> Sent: 09 May, 2007 12:32 PM
> Subject: Methodology?
>
>
> > Dear all,
> >
> >
> >
> > I have data for approximately 20.000 women that gave birth from 2001
> > to
> > 2007 in one hospital. I also
> > have 25 (only) women who have declared themselves as addicted to
> > certain drugs and who gave birth from 2001 to 2007 in the same
> > hospital (which makes it roughly about
> > 20.025 women in total). I would
> > like to test some differences in the weight of the child, blood cells,
> > etc... between addicts and non-addicts (between 20.000 women and 25
> > women). I am not sure if this is ok thing to do to use t-test, anova,
> > chi square, etc. with such disproportional size samples.
> >
> > Any thoughts on the subject?
> >
> >
> >
> > Samir
> >
> >
> >
> >
> >
> >
> >
> > GfK BH
> > Centar za istrazivanje trzista i javnog mnijenja d.o.o.
> >
> > Samir Omerovic
> > Istrazivac/Researcher
> >
> > 71000 Sarajevo, Skenderija 44
> > BA, Bosna i Hercegovina
> > Tel. +387 33 550300
> > Fax. +387 33 444226
> > www.gfk.ba
> > www.gfk.com
> >
> >
> > --
> > No virus found in this incoming message.
> > Checked by AVG Free Edition.
> > Version: 7.5.432 / Virus Database: 268.14.12/790 - Release Date:
> > 05-May-07
> > 10:34 AM
> >
>
>
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