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04-28-2016 12:02 PM

Hy,

I raise an unresolved issue posted in 2013.

I am wondering if anyone has had experience working with indirectly standardized rates.

Standardized rates is the product of the target crude rate and the ratio of observed to expected values from the relevant regression model.

In short, I try to compute the control limits by using the formulas in Appendix A.2.1.in Spiegelhalter's 2005 paper on funnel plots.

I'm working on SAS 9.3.

Thanks,

IE

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05-01-2016 12:58 PM

Hi:

Look at these 2 blog posts. One of them mentions the Spiegelhalter paper:

http://blogs.sas.com/content/iml/2011/04/15/funnel-plots-an-alternative-to-ranking.html

http://blogs.sas.com/content/iml/2011/11/23/funnel-plots-for-proportions.html

cynthia

Look at these 2 blog posts. One of them mentions the Spiegelhalter paper:

http://blogs.sas.com/content/iml/2011/04/15/funnel-plots-an-alternative-to-ranking.html

http://blogs.sas.com/content/iml/2011/11/23/funnel-plots-for-proportions.html

cynthia

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05-02-2016 03:14 AM

Thank you for answering.

These papers are for binomial and normal variables, I'm looking for the application for poisson variable.

Isabelle

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05-03-2016 10:31 AM

Yes, but Spieghalter show in Appendix A.2 how to compute the limits for the Poisson case. The second blog post uses the formulas from Appendix A.1, but the idea is the same. The important programming detail is that you can use the QUANTILE function to invert the cumulative Poisson distribution (F^{-1} in the paper). For the interpolation, mimic what the blog post does when it interpolates the binomial proportions.

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05-03-2016 10:55 AM

I try to.It seems to work for smr (target theta=1) but for standardized ratio with target not equal to 1, it is not so simple.

Thank you anyway.