Power of the Classical Twin Design Revisited: II Detection of Common Environmental Variance
- 1 February 2008
- journal article
- Published by Cambridge University Press (CUP) in Twin Research and Human Genetics
- Vol. 11 (1) , 48-54
- https://doi.org/10.1375/twin.11.1.48
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.cgiKeywords
This publication has 13 references indexed in Scilit:
- A Note on the Asymptotic Distribution of Likelihood Ratio Tests to Test Variance ComponentsTwin Research and Human Genetics, 2006
- A Note on the Asymptotic Distribution of Likelihood Ratio Tests to Test Variance ComponentsTwin Research and Human Genetics, 2006
- Likelihood Ratio Tests in Behavioral Genetics: Problems and SolutionsBehavior Genetics, 2006
- Power of the Classical Twin Design RevisitedTwin Research, 2004
- Power of the Classical Twin Design RevisitedTwin Research, 2004
- Power of regression and maximum likelihood methods to map QTL from sib‐pair and DZ twin dataAnnals of Human Genetics, 2001
- The power of the classical twin study to resolve variation in threshold traitsBehavior Genetics, 1994
- Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard ConditionsJournal of the American Statistical Association, 1987
- The power of the classical twin studyHeredity, 1978
- The Problem of Negative Estimates of Variance ComponentsThe Annals of Mathematical Statistics, 1962