Abstract
References
1.
Anderson, R.A. (2001). Security Engineering. Hoboken, NJ: John Wiley & Sons.
2.
Binder, D.A. (1983). On the Variances of Asymptotically Normal Estimators from Complex Surveys. International Statistical Review, 51, 279-292.
3.
Church, G., Heeney, C., Hawkins, N., De Vries, J., Boddington, P., Kaye, J., Bobrow, M., and Weir, B. (2009). Public Access to Genome-Wide Data: Five Views on Balancing Research with Privacy and Protection. PLoS Genetics, 5(10), p. e1000665.
4.
Estevao, V., Hidiroglou, M.A., and Sa¨rndal, C.-E. (1995). Methodological Principles for a Generalized Estimation System at Statistics Canada. Journal of Official Statistics, 11, 181-204.
5.
Homer, N., Szelinger, S., Redman, M., Duggan, D., Tembe, W., Muehling, J., Pearson, J.V., Stephan, D.A., Nelson, S.F., and Craig, D.W. (2008). Resolving Individuals Contributing Trace Amounts of DNA to Highly Complex Mixtures Using High-Density SNP Genotyping Microarrays. PLoS Genetics, 4(8).
6.
Im, H.K., Gamazon, E.R., Nicolae, D.L., and Cox, N.J. (2012). On Sharing Quantitative Trait GWAS Results in an Era of Multiple-Omics Data and the Limits of Genomic Privacy. American Journal of Human Genetics, 90, 591-598.
7.
Lumley, T. (2010). Complex Surveys: A Guide to Analysis Using R. Hoboken, NJ: John Wiley & Sons.
8.
R Core Team (2012). R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0. Available at: http://www.R-project.org/
9.
StataCorp (2011). Stata Statistical Software: Release 12. College Station, TX: StataCorp LP.