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Re: st: short time-series analysis


From   Robert A Yaffee <bob.yaffee@nyu.edu>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: short time-series analysis
Date   Mon, 28 Mar 2005 09:43:32 -0500

Karin,
  If you have multiple cases, you might consider a generalized
estimating equation.  
   - Bob Yaffee  


2100 Linwood Avenue
Apt 19-W
Fort Lee, NJ
07024-3171
Phone: 201-242-3824
Fax: 201-242-3825
yaffee@nyu.edu

----- Original Message -----
From: "Thursky, Karin A" <Karin.Thursky@mh.org.au>
Date: Monday, March 28, 2005 8:33 am
Subject: st: short time-series analysis

> I have a data on antibiotic usage per month (as grams) for 6 months 
> before and 6 months after an intervention. The Cochrane group 
> recommend repeated measures analysis, multiple t-tests and analysis 
> of variance as accepted methodology for short time-series. (I 
> assume that I have insuffucient data for an interrupted time series 
> regression using ARIMA)
> The data includes
> - group (intervention/non-intervention)
> - antibiotic in grams
> - month
> Can anyone suggest a stata methodology that is suitable for a short 
> time-series analysis?
> Regards
> Karin
> 
> Karin Thursky
> Infectious Diseases Physician
> Royal Melbourne Hospital/Peter MacCallum Cancer Institute
> Karin.Thursky@mh.org.au
> 0414 996649
> 
> 
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