Cumulative viral load as a predictor of CD4+ T-cell response to antiretroviral therapy using Bayesian statistical models.

We demonstrate in an unpublished South African cohort that cumulative log viral load is a strong and significant predictor of both CD4 count slope and asymptote. We argue that Bayesian methods should be used more frequently for such data, given their flexibility to incorporate prior information and non-Gaussian distributions.