A Targeted Maximum Likelihood Estimator for Two-Stage Designs

Rose Sherri and J. van der Laan Mark

The International Journal of Biostatistics, 2011, vol. 7, issue 1, 1-21

Abstract: We consider two-stage sampling designs, including so-called nested case control studies, where one takes a random sample from a target population and completes measurements on each subject in the first stage. The second stage involves drawing a subsample from the original sample, collecting additional data on the subsample. This data structure can be viewed as a missing data structure on the full-data structure collected in the second-stage of the study. Methods for analyzing two-stage designs include parametric maximum likelihood estimation and estimating equation methodology. We propose an inverse probability of censoring weighted targeted maximum likelihood estimator (IPCW-TMLE) in two-stage sampling designs and present simulation studies featuring this estimator.

Keywords: two-stage designs; targeted maximum likelihood estimators; nested case control studies; double robust estimation (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (6)

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DOI: 10.2202/1557-4679.1217

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