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st: RE: -powercal-
I think you probably could use -powercal- to do these power
calculations. The formulas are given in Newson (2004). However, to use
these formulas, you must first specify the kind of effect you intend to
measure (eg a ratio between proportions or a difference between
proportions or a difference between odds), and the groups you intend to
compare. These specifications not clear from your email (quoted below).
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/
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: [email protected]
www.imperial.ac.uk/nhli/r.newson/
Opinions expressed are those of the author, not of the institution.
-----Original Message-----
From: [email protected]
[mailto:[email protected]] On Behalf Of Mak, Timothy
Sent: 09 February 2007 14:06
To: [email protected]
Subject: st: -powercal-
Hi all,
I would like to use calculate sample size for an RCT whose outcome will
be assessed by Binomial regression. Basically it's the proportion of
treatment sessions that are attended. Some will be assigned 3 sessions,
some 6, and some 12. Say the proportions are 60%, 20%, and 20%. Assuming
equal proportion between treatment and control group, I wonder if I
could use -powercal- to do the calculations instead of running a
simulation.
Help would be much appreciated.
Tim
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