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Article
Targeted Maximum Likelihood Estimation of the Parameter of a Marginal Structural Model
International Journal of Biostatistics (2010)
  • Michael Rosenblum, Johns Hopkins University
  • Mark J van der Laan, University of California - Berkeley
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.
Publication Date
2010
Citation Information
Michael Rosenblum and Mark J van der Laan. "Targeted Maximum Likelihood Estimation of the Parameter of a Marginal Structural Model" International Journal of Biostatistics Vol. 6 Iss. 2 (2010)
Available at: http://works.bepress.com/mrosenblum/21/