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From |
Sona Saha <ssaha@uclink4.berkeley.edu> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: Meta-analysis of rates? |

Date |
Tue, 14 Sep 2004 09:40:05 -0700 |

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: ssaha@berkeley.edu

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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: ssaha@berkeley.edu * * 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/

**References**:**st: Meta-analysis of rates?***From:*Sona Saha <ssaha@uclink4.berkeley.edu>

**Re: st: Meta-analysis of rates?***From:*Tom Trikalinos <ttrikalin@mac.com>

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