期刊
TWIN RESEARCH AND HUMAN GENETICS
卷 11, 期 1, 页码 48-54出版社
CAMBRIDGE UNIV PRESS
DOI: 10.1375/twin.11.1.48
关键词
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资金
- NIDA NIH HHS [DA-18673, R37 DA018673, R01 DA018673] Funding Source: Medline
- NIMH NIH HHS [R01 MH065322, MH-65322] Funding Source: Medline
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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