Re: st: RE: Power calculation for Beta/Odds Ratios in logistic regressionmodels

[Nico Hutter <Nico.Hutter@psychologie.uni-freiburg.de>]

Thanks for the advice. We will try that.

Best wishes

Newson, Roger B schrieb:
> One possibility is to use the -powercal- package, downloadable from SSC. In Stata, use the commands
>
> ssc describe powercal
> ssc install powercal, replace
>
> to do this.
>
> More about the use of -powercal- (including an application to logistic regression) can be found in the -powercal- manual (distributed with the -powercal-
> package as an ancillary file), or in Newson (2004).
>
> I hope this helps.
>
> Best wishes
>
> Roger
>
>
> References
>
> Newson R. Generalized power calculations for generalized linear models and more. The Stata Journal 2004; 4(4): 379-401. Download pre-publication draft from
> http://www.imperial.ac.uk/nhli/r.newson/papers.htm
>
> Roger Newson
> Lecturer in Medical Statistics
> Respiratory Epidemiology and Public Health Group
> National Heart and Lung Institute
> Imperial College London
> Royal Brompton campus
> Room 33, Emmanuel Kaye Building
> 1B Manresa Road
> London SW3 6LR
> UNITED KINGDOM
> Tel: +44 (0)20 7352 8121 ext 3381
> Fax: +44 (0)20 7351 8322
> Email: r.newson@imperial.ac.uk 
> Web page: www.imperial.ac.uk/nhli/r.newson/
> Departmental Web page:
> http://www1.imperial.ac.uk/medicine/about/divisions/nhli/respiration/popgenetics/reph/
>
> Opinions expressed are those of the author, not of the institution.
>
> -----Original Message-----
> From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Nico Hutter
> Sent: 15 August 2007 13:49
> To: statalist@hsphsun2.harvard.edu
> Subject: st: Power calculation for Beta/Odds Ratios in logistic regression models
>
> Hi everyone,
>
> we would like to run a power calculation for beta-coefficients / odds 
> ratios in logistic regression models with covariates.
> Is such a procedure implemented in SATA?
>
> Used command for the logistic regression model:
> svy: logit depression age sex comorbidity, or
>
> Data stems from a national representative survey. Dependent variable is 
> depression. Comorbidity is dichotomised. Now, we are interested in the 
> "post hoc" power of the odds ratio of comorbidity.
>
> Can anybody give us some advice, please? Thanks in advance!
>
>
>   

--
Nico Hutter, Dipl. Psych.
Abt. f�r Rehabilitationspsychologie und Psychotherapie
Institut f�r Psychologie 
Universit�t Freiburg
D-79085 Freiburg
Tel: +49(0)761/203-9172
Fax: +49(0)761/203-3040
http://www.psychologie.uni-freiburg.de/Members/hutter

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