Section: New Results

Statistical and mechanistic modeling

• Prague M, Commenges D, Gran JM, Ledergerber B, Young J, Furrer H, Thiébaut R. Dynamic models for estimating the effect of HAART on CD4 in observational studies: Application to the Aquitaine Cohort and the Swiss HIV Cohort Study. Biometrics. 2017;73:294-304. [26]

  Comparison of descriptive models (Marginal structural models) and mechanistic models (Ordinary differential equations with mixed effect models on parameters) performances for estimating treatment effect from observational studies.

• Turner EL, Li F, Gallis JA, Prague M, Murray DM. Review of recent methodological developments in group-randomized trials: part 1 design. American Journal of Public Health 107(6), 907-915. [27]

• Mélanie Prague, Elisabeth Turner, Gallis John, Li Fan, Murray David. Review of recent Methodological Developments in group-randomized trials: Part 2 - Analysis. American Journal of Public Health, American Public Health Association, 2017. [28]

  Review of the literature on how to analyse data from a cluster randomised trial

  Review of literature regarding Design of cluster randomised trials.

• Jarne Ana, Daniel Commenges, Mélanie Prague, Yves Levy, Rodolphe Thiébaut and inspire 2/3 study group. Modelling CD4+ T cells dynamics in HIV-infected patients receiving repeated cycles of exogenous interleukin 7. Annals of applied statistics 11(3) 1593-1616. [21]

  Modelling the disability of CD4 restauration by repeated cycles of Intereukine-7 injections using mechanistic models.

• Prague M., Wang R., Stephens A., Tchetgen Tchetgen E, DeGruttola V. Accounting for interference variables using semi-parametric augmentation for improving efficiency in clustered randomized trials with missing at random outcomes. Biometrics 72(4) 1066-1077. [29]

  Doubly robust approach to estimate the treatment effect in Cluster randomised trials.