Targeted maximum likelihood estimation of the parameter of a marginal structural model

Michael Rosenblum, Mark J. Van Der Laan

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Article number19
JournalInternational Journal of Biostatistics
Volume6
Issue number2
DOIs
StatePublished - 2010

Keywords

  • Marginal structural model
  • Targeted maximum likelihood

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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