title: Targeted maximum likelihood based causal inference: Part II.
abstract: In this article, we provide a template for the practical implementation of the targeted maximum likelihood estimator for analyzing causal effects of multiple time point interventions, for which the methodology was developed and presented in Part I. In addition, the application of this template is demonstrated in two important estimation problems: estimation of the effect of individualized treatment rules based on marginal structural models for treatment rules, and the effect of a baseline treatment on survival in a randomized clinical trial in which the time till event is subject to right censoring.
authors: University of California - Berkeley, CA, USA.
authors: Mark J
authors: MJ
authors: van der Laan
mesh_terms: D000465:Algorithms; D044966:Anti-Retroviral Agents / Q000008:administration & dosage; D018791:CD4 Lymphocyte Count; D015984:Causality; D003198:Computer Simulation; D015658:HIV Infections / Q000188:drug therapy; D008137:Longitudinal Studies; D015233:Models, Statistical; D011336:Probability; D016032:Randomized Controlled Trials as Topic; D012107:Research Design / Q000706:statistics & numerical data; D016019:Survival Analysis; D013997:Time Factors; D016896:Treatment Outcome
chemical_list: D044966:Anti-Retroviral Agents