Mixed-effects models for joint modeling of sequence data in longitudinal studies
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Biochemistry, Genetics and Molecular Biology,General Medicine
Link
http://link.springer.com/content/pdf/10.1186/1753-6561-8-S1-S92.pdf
Reference9 articles.
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2. Foulkes AS, Reilly M, Zhou L, Wolfe M, Rader DJ: Mixed modeling to characterized genotype-phenotype associations. Statist Med. 2005, 24: 775-789. 10.1002/sim.1965.
3. Pinheiro JC, Bates DM: Mixed-effects models in S and S-PLUS. New York, Springer. 2000
4. Foulkes AS, DeGruttola V, Hertogs K: Combining genotype groups and recursive partitioning: an application to HIV-1 genetics data. J Roy Stat Soc Ser C Part 2. 2004, 53: 311-323. 10.1046/j.1467-9876.2003.05094.x.
5. DiRienzo G, DeGruttola V: Nonparametric methods to predict HIV drug susceptibility phenotype from genotype. Stat Med. 2003, 22: 2785-2798. 10.1002/sim.1516.
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