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Contribution to Book
Targeted Learning for Causality and Statistical Analysis in Medical Research
Targeted Learning for Causality and Statistical Analysis in Medical Research
  • Sherri Rose, Johns Hopkins Bloomberg School of Public Health
  • Richard J.C.M. Starmans, Universiteit Utrecht
  • Mark J. van der Laan, School of Public Health, Division of Biostatistics, University of California, Berkeley
Date of this Version
8-22-2012
Abstract

The authors present the use of targeted learning methods for medical research, prepared as a chapter for the upcoming book "Statistics: Discovering Your Future Power." The targeted learning framework involves the explicit specification of the data, model, and parameter. The estimators are double robust and efficient, and can incorporate machine learning procedures such as the super learner.

Disciplines
Citation Information
Sherri Rose, Richard J.C.M. Starmans and Mark J. van der Laan. "Targeted Learning for Causality and Statistical Analysis in Medical Research" Targeted Learning for Causality and Statistical Analysis in Medical Research (2012)
Available at: http://works.bepress.com/sherri_rose/20/