Výsledky vyhledávání - "Commenges, D"

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Dynamic models for estimating the effect of HAART on CD4 in observational studies: application to the Aquitaine Cohort study and the Swiss HIV Cohort Study

Autor: Prague, M., Commenges, D., Gran, J. M., Ledergerber, B., young, J., Furrer, H., Thiébaut, R.

Highly active antiretroviral therapy (HAART) has proved efficient in increasing CD4 counts in many randomized clinical trials. Because randomized trials have some limitations (e.g., short duration, highly selected subjects), it is interesting to asse

Externí odkaz: http://arxiv.org/abs/1503.08658

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Modeling the dynamics of biomarkers during primary HIV infection taking into account the uncertainty of infection date

Autor: Drylewicz, J., Guedj, J., Commenges, D., Thiébaut, R.

Publikováno v: Annals of Applied Statistics 2010, Vol. 4, No. 4, 1847-1870

During primary HIV infection, the kinetics of plasma virus concentrations and CD4+ cell counts is very complex. Parametric and nonparametric models have been suggested for fitting repeated measurements of these markers. Alternatively, mechanistic app

Externí odkaz: http://arxiv.org/abs/1101.1164

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Inference in HIV dynamics models via hierarchical likelihood

Autor: Commenges, D., Jolly, D., Putter, H., Thiebaut, R.

HIV dynamical models are often based on non-linear systems of ordinary differential equations (ODE), which do not have analytical solution. Introducing random effects in such models leads to very challenging non-linear mixed-effects models. To avoid

Externí odkaz: http://arxiv.org/abs/1002.0425

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Estimating a difference between Kullback-Leibler risks by a normalized difference of AIC

Autor: Commenges, D., Sayyareh, A., Letenneur, L., Guedj, J., Bar-Hen, A.

AIC is commonly used for model selection but the precise value of AIC has no direct interpretation. We are interested in quantifying a difference of risks between two models. This may be useful for both an explanatory point of view or for prediction,

Externí odkaz: http://arxiv.org/abs/0807.4086

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