Long-term HIV dynamic models incorporating drug adherence and resistance to treatment for prediction of virological responses
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- Naranjo, L. & Martín, J. & Pérez, C.J., 2014. "Bayesian binary regression with exponential power link," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 464-476.
- Commenges, D. & Jolly, D. & Drylewicz, J. & Putter, H. & Thiébaut, R., 2011. "Inference in HIV dynamics models via hierarchical likelihood," Computational Statistics & Data Analysis, Elsevier, vol. 55(1), pages 446-456, January.
- Sagaon-Teyssier, Luis & Fressard, Lisa & Mora, Marion & Maradan, Gwenaëlle & Guagliardo, Valérie & Suzan-Monti, Marie & Dray-Spira, Rosemary & Spire, Bruno, 2016. "Larger is not necessarily better! Impact of HIV care unit characteristics on virological success: results from the French national representative ANRS-VESPA2 study," Health Policy, Elsevier, vol. 120(8), pages 936-947.
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