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.
CITATION STYLE
Visscher, P. M., Gordon, S., & Neale, M. C. (2008). Power of the classical twin design revisited: II detection of common environmental variance. Twin Research and Human Genetics, 11(1), 48–54. https://doi.org/10.1375/twin.11.1.48
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