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Power of the classical twin design revisited: II detection of common environmental variance
Peter M Visscher1, Scott Gordon, Michael C Neale
1Genetic Epidemiology, Queensland Institute of Medical Research, Brisbane, Australia. peter.visscher@qimr.edu.au
Abstract:
We expand our previous deterministic power calculations by calculating the required sample size to detect C in ACE models. The theoretical expected value of the maximum log-likelihood for the AE model was derived using two optimisation methods and these gave near-identical results. Theoretical predictions were verified by computer simulation and the results agreed very well. We have developed a user-friendly web-based tool, TwinPower, to perform power calculations to detect either A or C for the classical twin design. This new tool can be found at http://genepi.qimr.edu.au/cgi-bin/twinpower.cgi.
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