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
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----- Original Message -----
From: "Thursky, Karin A" <[email protected]>
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
> [email protected]
> 0414 996649
>
>
> *
> * 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/
