Estimation and Prediction With HIV-Treatment Interruption Data

Author:

Adams B. M.,Banks H. T.,Davidian M.,Rosenberg E. S.

Publisher

Springer Science and Business Media LLC

Subject

Computational Theory and Mathematics,General Agricultural and Biological Sciences,Pharmacology,General Environmental Science,General Biochemistry, Genetics and Molecular Biology,General Mathematics,Immunology,General Neuroscience

Reference26 articles.

1. Adams, B.M., 2005. Non-parametric parameter estimation and clinical data fitting with a model of HIV Infection. PhD Thesis, NC State University, Raleigh.

2. Adams, B.M., Banks, H.T., Davidian, M., Kwon, H.D., Tran, H.T., Wynne, S.N., Rosenberg, E.S., 2005. HIV dynamics: Modeling, data analysis, and optimal treatment protocols. J. Comput. Appl. Math. 184(1), 10–49.

3. Adams, B.M., Banks, H.T., Davidian, M., Rosenberg, E.S., 2005. Model fitting and prediction with HIV treatment interruption data, Center for Research in Scientific Computation Technical Report CRSC-TR05-40, NC State University, Raleigh, October. Online: http://www.ncsu.edu/crsc/reports.

4. Adams, B.M., Banks, H.T., Tran, H.T., Kwon, H., 2004. Dynamic multidrug therapies for HIV: Optimal and STI control approaches. Math. Biosci. Eng. 1(2), 223–241.

5. Aitkin, M., 1981. A note on the regression analysis of censored data. Technometrics 23, 161–163.

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