Date:         Sun, 17 Jul 2011 08:23:15 +0800
Reply-To:     Eins Bernardo <einsbernardo@yahoo.com.ph>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Eins Bernardo <einsbernardo@yahoo.com.ph>
Subject:      Re: odds ratio and 95% CI in Meta analysis
Comments: To: Bruce Weaver <bruce.weaver@hotmail.com>
In-Reply-To:  <1310844148326-4594715.post@n5.nabble.com>
Content-Type: multipart/alternative;

I thought my data were hopeless.  Now I am enlighten.  Thank you for your input, Bruce.Given the data (Y=In OR and SE(Y)), please suggest a method and software.  
Eins

--- On Sat, 7/16/11, Bruce Weaver <bruce.weaver@hotmail.com> wrote:

From: Bruce Weaver <bruce.weaver@hotmail.com>
Subject: Re: odds ratio and 95% CI in Meta analysis
To: SPSSX-L@LISTSERV.UGA.EDU
Date: Saturday, 16 July, 2011, 7:22 PM

What you need for each study is a measure of effect size (Y) and its standard
error.  In this case,

Y = ln(OR) -- were 'ln' = natural log

Then let U = ln(upper limit of the 95% CI for the OR)

U = Y + 1.96*SE(Y)
1.96*SE(Y) = U-Y
SE(Y) = (U-Y)/1.96

Some meta-analysis (in the past, at least) wanted the variance of Y rather
than the standard error.  If that is the case, just square the standard
error.

HTH.



Eins Bernardo wrote:
>
> Can we do a meta analysis when the available data for each study are odds
> ratio and 95% confidence interval? Â There are 17 studies for the past 5
> years.
> Thank you for any input.
> Eins
>


-----
--
Bruce Weaver
bweaver@lakeheadu.ca
http://sites.google.com/a/lakeheadu.ca/bweaver/

"When all else fails, RTFM."

NOTE: My Hotmail account is not monitored regularly.
To send me an e-mail, please use the address shown above.

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