title: Targeted maximum likelihood estimation of the parameter of a marginal structural model.
abstract: Targeted maximum likelihood estimation is a versatile tool for estimating parameters in semiparametric and nonparametric models. We work through an example applying targeted maximum likelihood methodology to estimate the parameter of a marginal structural model. In the case we consider, we show how this can be easily done by clever use of standard statistical software. We point out differences between targeted maximum likelihood estimation and other approaches (including estimating function based methods). The application we consider is to estimate the effect of adherence to antiretroviral medications on virologic failure in HIV positive individuals.
authors: Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
authors: Michael
authors: M
authors: Rosenblum
authors: Mark J
authors: MJ
authors: van der Laan
mesh_terms: D000465:Algorithms; D015984:Causality; D016903:Drug Monitoring; D016013:Likelihood Functions; D008137:Longitudinal Studies; D015233:Models, Statistical; D016032:Randomized Controlled Trials as Topic / Q000706:statistics & numerical data*; D012107:Research Design; D013997:Time Factors