Hi Tom,
Thanks for the suggestions. The second way you mentioned was what I tried,
but I will play with meta more.
Regards,
sona
At 12:50 PM 9/14/2004 +0300, you wrote:
Sona,
Meta-analysis of proportions may be a bit tricky. You can do it in STATA,
though, using e.g. _meta_.
1. One way is to use the Freeman-Tukey arcsin transform to stabilize
variances:
Let "n" be the nominator and "N" the denominator for the proportion.
Then p=n/N.
- if n=0 & N<50, compute p as p = 1/(4*N)
- if n=N & N<50, compute p as p = (n-0.25)/N
The effect size would be "pTransformed"
. gen pTransformed = asin(sqrt(n/(N+1))) + asin(sqrt((n+1)/(N+1)))
// which is about the same as ". gen Theta = 2* asin(sqrt(n/N))" for
large n, N
The SE would be:
. gen SEpTransf = sqrt(1/(N+1))
. meta pTransformed SEpTransf // select the proper options for
meta-analysis, or for the forrest plot
Then you can transform the Summary estimate and the CI boundaries back to
proportions using
gen AnyProportion = (sin(AnyPTransformed / 2))^2
2. Another way (provided that proportions are not really close to 0 or 1,
and that N is large) is to compute a sample size-weighted summary as
pSummary = sum(n)/sum(N), where the variance would be
sqrt(pSummary*(1-pSummary)/sum(N)).
You can make the forrest plot manually. You assume no heterogeneity.
Hope this helps.
Tom
On Sep 13, 2004, at 9:47 PM, Sona Saha wrote:
Hi,
Is anyone familiar with any routines or commands in STATA that allow for
a meta-analysis of rates?
The metan, meta and metacum commands require 2 groups for analysis.
Ideally, I would very much like to pool these rates with options for
random or fixed effects models, evaluating heterogeneity and the ability
to create Forrest plots. However, I have not found a routine that will
take data for just one group per study. If you have any suggestions or
advice that would be much appreciated.
Thank you!
Regards,
Sona
Sona R. Saha, MPH
Division of Public Health Biology
& Epidemiology
School of Public Health
University of California, Berkeley
140 Warren Hall #7360
Berkeley, CA 94720
Phone: 510 642-6265
Fax: 510 643-7316
Email: [email protected]
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
Sona R. Saha, MPH
Division of Public Health Biology
& Epidemiology
School of Public Health
University of California, Berkeley
140 Warren Hall #7360
Berkeley, CA 94720
Phone: 510 642-6265
Fax: 510 643-7316
Email: [email protected]
*
* For searches and help try:
* http://www.stata.com/support/faqs/res/findit.html
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
