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May 28, 2013 02:43
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Power and sample size for univariate ACE model.
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| ## ESTIMATE SAMPLE SIZE NEEDED to achieve a given power in univariate twin studies. | |
| ## | |
| ## Input: | |
| ## pmz: sampling fraction MZ/DZ | |
| ## tmz: intraclass correlation for MZ twins | |
| ## tdz: intraclass correlation for DZ twins | |
| ## alpha: level I risk level | |
| ## beta: level II risk level (power = 1 - beta) | |
| ## | |
| ## Output: | |
| ## N: total sample size | |
| ## h2: genetic component | |
| ## c2: common environmental component | |
| ## | |
| ## Exemple: | |
| ## | |
| ## # h2 = 0.4 and c2 = 0.5 (Falconer's formula), 95% power, same number of DZs and MZs | |
| ## twin.power(pmz=1/2, tmz=.9, tdz=.7, beta=.05) | |
| ## | |
| ## Reference: Visscher, PM. Twin Research (2004) 7(5):505. | |
| ## Time-stamp: <2013-05-23 15:19:10 chl> | |
| twin.power <- function(pmz, tmz, tdz, alpha=0.05, beta=0.20) { | |
| tave <- pmz * tmz + (1-pmz) * tdz | |
| res <- (qnorm(1-alpha) + qnorm(1-beta))^2 / log((1-tave^2) / ((1-tmz^2)^pmz * (1-tdz^2)^(1-pmz))) | |
| h2 <- 2 * (tmz - tdz) | |
| c2 <- 2*tdz - tmz | |
| return(list(N=res, h2=h2, c2=c2)) | |
| } |
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